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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f092108c-224"},"title":"Sr. Solutions Engineer - Public Sector (Federal Civilian)","description":"<p>As a Sr. Solutions Engineer at Databricks, you will lead the growth of the Databricks Unified Analytics Platform. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value.</p>\n<p>In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will partner with the sales team to help customers understand how Databricks can help solve their business problems, provide technical leadership for customers to evaluate and adopt Databricks, consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.</p>\n<p>You will become an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. Travel to customers in your region is also required.</p>\n<p>Requirements:</p>\n<ul>\n<li>5+ years in a customer-facing pre-sales, technical architecture, or consulting role</li>\n<li>Experience designing and architecting distributed data systems</li>\n<li>Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R</li>\n<li>Experience supporting Public Sector clients</li>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP</li>\n<li>Expertise in at least one of the following:</li>\n</ul>\n<p>+ Data Engineering technologies (Ex: Spark, Hadoop, Kafka) \t+ Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) \t+ Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)</p>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. 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You will exercise and develop expertise in cloud platforms, data engineering, data analytics, and data science and machine learning using open-source projects such as Apache Spark, MLflow, and Delta Lake.</p>\n<p>This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation to accomplish value.</p>\n<p>In this process, you will build relationships with our customers, find and build champions, and become a trusted advisor.</p>\n<p>You will partner with the sales team to help customers understand how Databricks can help solve their business problems.</p>\n<p>Provide technical leadership for customers to evaluate and adopt Databricks.</p>\n<p>Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.</p>\n<p>Build and present reference architectures, how-tos, and demo applications for customers.</p>\n<p>Become an expert in, and promote Databricks-inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.</p>\n<p>Travel to customers in your region.</p>\n<p>We look for candidates with 5+ years in a customer-facing pre-sales, technical architecture, or consulting role.</p>\n<p>Experience designing and architecting distributed data systems.</p>\n<p>Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R.</p>\n<p>Experience supporting Public Sector clients.</p>\n<p>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</p>\n<p>Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO).</p>\n<p>Desired degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</p>\n<p>Secret security clearance or willingness to obtain one.</p>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. 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More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.  The Lakebase product-line requires the following core technical competencies:  <em> 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. </em> Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. <em> Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. </em> Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)  Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.  As a trusted advisor, serve as an expert Solutions Architect and &quot;champion,&quot; building technical credibility with stakeholders to drive product adoption and vision.  Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.  Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams  Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.  Competencies &amp; Responsibilities:  <em> 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. </em> Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&amp;D teams. <em> Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. </em> Proficient in programming, debugging, and problem-solving using SQL and Python. <em> Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). </em> Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. <em> Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. </em> A track record of driving complex projects to completion in fast-paced, customer-facing environments.  About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.  Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.  Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem.</p>\n<p>As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada.</p>\n<p>You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers. You will be technical sponsor and thought-leader to a select number of customers.</p>\n<p>You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster. You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.</p>\n<p>The Impact You Will Have</p>\n<p>Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)</p>\n<p>Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode</p>\n<p>Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture.</p>\n<p>You will make sure that your team is continuously learning and staying in-line with the other field functions while consistently exceeding their certification goals</p>\n<p>Assign accounts and distribute work across individuals for optimal customer coverage and team balance</p>\n<p>Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology</p>\n<p>Build relationships and partner with Sales, pre Sales and professional services teams to accelerate growth of customers</p>\n<p>Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers</p>\n<p>Lead team activities to monitor customer progress and forecast growth</p>\n<p>Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization</p>\n<p>Maintain a robust hiring pipeline at all times</p>\n<p>What We Look For</p>\n<p>7+ years of successful experience in a customer facing role</p>\n<p>Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science.</p>\n<p>Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals</p>\n<p>Trusted advisor to technical executives that guide strategic data project delivery decisions</p>\n<p>Lead a team through best practices for architecture discussions, use case Go-Lives, creating project and execution plans and customer growth strategy</p>\n<p>Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners</p>\n<p>Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role</p>\n<p>Conversant with business issues our customers face today and likely big data use cases in different industries</p>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Canada Pay Range $254,000-$340,000 CAD</p>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.</p>\n<p>The Lakebase product-line requires the following core technical competencies:</p>\n<ul>\n<li>10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.</li>\n</ul>\n<ul>\n<li>Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.</li>\n</ul>\n<ul>\n<li>Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.</li>\n</ul>\n<ul>\n<li>Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)</li>\n</ul>\n<p>The impact you will have</p>\n<ul>\n<li>Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.</li>\n</ul>\n<ul>\n<li>As a trusted advisor, serve as an expert Solutions Architect and &#39;champion,&#39; building technical credibility with stakeholders to drive product adoption and vision.</li>\n</ul>\n<ul>\n<li>Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.</li>\n</ul>\n<ul>\n<li>Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.</li>\n</ul>\n<p>Competencies &amp; Responsibilities</p>\n<ul>\n<li>6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.</li>\n</ul>\n<ul>\n<li>Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&amp;D teams.</li>\n</ul>\n<ul>\n<li>Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.</li>\n</ul>\n<ul>\n<li>Proficient in programming, debugging, and problem-solving using SQL and Python.</li>\n</ul>\n<ul>\n<li>Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).</li>\n</ul>\n<ul>\n<li>Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.</li>\n</ul>\n<ul>\n<li>Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.</li>\n</ul>\n<ul>\n<li>A track record of driving complex projects to completion in fast-paced, customer-facing environments.</li>\n</ul>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b27c322f-b39","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8568011002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Transactional database (OLTP)","Engineering","Product development","Administration","Pre-sales","Disaster recovery","High availability","Backup and recovery","Scale-out methods","Identity and security management","Migrations (vendor-to-vendor, on-prem to cloud)","SQL","Python","Big Data","Lakehouse","AI","Data engineering","Data warehousing","App development","Streaming"],"x-skills-preferred":[],"datePosted":"2026-06-11T12:07:04.228Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Transactional database (OLTP), Engineering, Product development, Administration, Pre-sales, Disaster recovery, High availability, Backup and recovery, Scale-out methods, Identity and security management, Migrations (vendor-to-vendor, on-prem to cloud), SQL, Python, Big Data, Lakehouse, AI, Data engineering, Data warehousing, App development, Streaming"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_48fe2ca6-66f"},"title":"Senior Solutions Architect - Lakebase","description":"<p>The Solutions Architect (Lakebase) team executes on Databricks&#39; strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth.</p>\n<p>They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals.</p>\n<p>By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.</p>\n<p>The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.</p>\n<p>The Lakebase product-line requires the following core technical competencies:</p>\n<ul>\n<li>10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.</li>\n</ul>\n<ul>\n<li>Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.</li>\n</ul>\n<ul>\n<li>Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.</li>\n</ul>\n<ul>\n<li>Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)</li>\n</ul>\n<p>The impact you will have</p>\n<ul>\n<li>Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.</li>\n</ul>\n<ul>\n<li>As a trusted advisor, serve as an expert Solutions Architect and &#39;champion,&#39; building technical credibility with stakeholders to drive product adoption and vision.</li>\n</ul>\n<ul>\n<li>Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.</li>\n</ul>\n<ul>\n<li>Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.</li>\n</ul>\n<p>Competencies &amp; Responsibilities</p>\n<ul>\n<li>6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.</li>\n</ul>\n<ul>\n<li>Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&amp;D teams.</li>\n</ul>\n<ul>\n<li>Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.</li>\n</ul>\n<ul>\n<li>Proficient in programming, debugging, and problem-solving using SQL and Python.</li>\n</ul>\n<ul>\n<li>Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).</li>\n</ul>\n<ul>\n<li>Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.</li>\n</ul>\n<ul>\n<li>Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.</li>\n</ul>\n<ul>\n<li>A track record of driving complex projects to completion in fast-paced, customer-facing environments.</li>\n</ul>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_48fe2ca6-66f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8587320002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Transactional database (OLTP)","Engineering","Product development","Administration","Pre-sales","Disaster recovery","High availability","Backup and recovery","Scale-out methods","Identity and security management","Migrations (vendor-to-vendor, on-prem to cloud)","SQL","Python","Data engineering","Data warehousing","AI","ML","Governance","Transactional systems","App development","Streaming"],"x-skills-preferred":[],"datePosted":"2026-06-11T12:06:49.600Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Transactional database (OLTP), Engineering, Product development, Administration, Pre-sales, Disaster recovery, High availability, Backup and recovery, Scale-out methods, Identity and security management, Migrations (vendor-to-vendor, on-prem to cloud), SQL, Python, Data engineering, Data warehousing, AI, ML, Governance, Transactional systems, App development, Streaming"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a77d3f0-b9a"},"title":"Automation Engineer","description":"<p>The Automation Engineer develops, maintains, and improves software tools, data systems, dashboards, and automated workflows that support Standard Nuclear&#39;s manufacturing operations.</p>\n<p>This role focuses on manufacturing systems, inventory and material tracking, reporting automation, data integrity, and operational visibility in a regulated environment.</p>\n<p>The Automation Engineer will support systems used to track production activity, material movement, nuclear material inventory, process data, and operational performance.</p>\n<p>Responsibilities:</p>\n<p>Manufacturing Systems &amp; Automation</p>\n<ul>\n<li>Develop, maintain, and improve software tools and automated workflows that support manufacturing operations</li>\n</ul>\n<ul>\n<li>Build scripts, integrations, and system automations to reduce manual work, improve data accuracy, and increase operational visibility</li>\n</ul>\n<ul>\n<li>Support manufacturing systems used for production tracking, inventory management, material movement, reporting, and process monitoring</li>\n</ul>\n<ul>\n<li>Troubleshoot system issues, workflow failures, user access problems, data discrepancies, and reporting gaps</li>\n</ul>\n<p>Inventory &amp; Material Tracking Systems</p>\n<ul>\n<li>Maintain and improve systems used to track inventory, materials, equipment status, and operational workflows</li>\n</ul>\n<ul>\n<li>Support systems used for nuclear material tracking, ensuring data integrity, traceability, access control, and reliable reporting</li>\n</ul>\n<ul>\n<li>Develop automation tools that improve inventory visibility, reduce manual data entry, and support compliant material management</li>\n</ul>\n<ul>\n<li>Partner with operations, NMCA, quality, engineering, and IT teams to ensure system changes are controlled, documented, and aligned with operational requirements</li>\n</ul>\n<p>Dashboards, Reporting &amp; Data Tools</p>\n<ul>\n<li>Build and maintain dashboards, reports, and visualization tools for manufacturing, engineering, quality, and leadership teams</li>\n</ul>\n<ul>\n<li>Translate manufacturing and operational data into clear, actionable views of production status, inventory, yield, throughput, and process performance</li>\n</ul>\n<ul>\n<li>Automate recurring reports and reduce spreadsheet-based or manual reporting workflows</li>\n</ul>\n<p>Data Systems &amp; Integration</p>\n<ul>\n<li>Integrate data from manufacturing systems, equipment, databases, spreadsheets, ERP/MRP systems, and other operational sources</li>\n</ul>\n<ul>\n<li>Develop and maintain data pipelines, queries, and structured datasets for analysis, reporting, and automation</li>\n</ul>\n<p>Compliance, Security &amp; Documentation</p>\n<ul>\n<li>Support data integrity, role-based access, change control, and documentation practices for manufacturing systems</li>\n</ul>\n<ul>\n<li>Coordinate with IT to ensure tools and systems align with cybersecurity, access control, and company technology requirements</li>\n</ul>\n<p>Cross-Functional Support</p>\n<ul>\n<li>Work closely with intelligent manufacturing, operations, engineering, quality, NMCA, EH&amp;S, supply chain, and IT teams</li>\n</ul>\n<ul>\n<li>Gather requirements from technical and operational users and translate them into practical software and data solutions</li>\n</ul>\n<p>Preferred Qualifications</p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Software Engineering, Data Science, Cybersecurity, Information Systems, Engineering, or a related technical field</li>\n</ul>\n<ul>\n<li>2–6 years of experience in software development, systems automation, data engineering, manufacturing systems, IT systems support, or a related technical role</li>\n</ul>\n<ul>\n<li>Strong programming or scripting skills, preferably in Python, SQL, or similar tools</li>\n</ul>\n<ul>\n<li>Experience working with SQL databases, data pipelines, APIs, dashboards, and structured data</li>\n</ul>\n<ul>\n<li>Experience building reports or dashboards using Power BI, Tableau, Grafana, Plotly, or similar platforms</li>\n</ul>\n<ul>\n<li>Experience supporting regulated inventory, material tracking, access-controlled systems, or compliance-sensitive operational software preferred</li>\n</ul>\n<ul>\n<li>Familiarity with data integrity, role-based access control, change control, or software quality assurance practices preferred</li>\n</ul>\n<ul>\n<li>Ability to troubleshoot software, data, workflow, reporting, and user access issues</li>\n</ul>\n<ul>\n<li>Comfort working with incomplete, messy, or evolving data sources in a manufacturing or operational environment</li>\n</ul>\n<ul>\n<li>Familiarity with ERP/MRP systems, manufacturing systems, equipment data, sensor data, or industrial systems is a plus</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning, statistical modeling, or advanced analytics is a plus</li>\n</ul>\n<ul>\n<li>Experience in manufacturing, nuclear, DOE, energy, aerospace, defense, semiconductor, chemical processing, or other technical industries is a plus</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Health, Dental &amp; Vision Insurance</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Disability and Life Insurance</li>\n</ul>\n<ul>\n<li>401(k) Plan</li>\n</ul>\n<ul>\n<li>Paid Time Off and Holidays</li>\n</ul>\n<p>Work Environment</p>\n<p>This role is based in Oak Ridge, TN and involves a mix of office-based work and interaction with manufacturing and operations teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4a77d3f0-b9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Standard Nuclear","sameAs":"https://www.standardnuclear.com/","logo":"https://logos.yubhub.co/standardnuclear.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/standardnuclearinc/jobs/5251660008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Power BI","Tableau","Grafana","Plotly","ERP/MRP systems","manufacturing systems","equipment data","sensor data","industrial systems","machine learning","statistical modeling","advanced analytics"],"x-skills-preferred":["data science","cybersecurity","information systems","engineering","software development","systems automation","data engineering","IT systems support"],"datePosted":"2026-06-09T20:06:36.621Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oak Ridge, TN"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Energy","skills":"Python, SQL, Power BI, Tableau, Grafana, Plotly, ERP/MRP systems, manufacturing systems, equipment data, sensor data, industrial systems, machine learning, statistical modeling, advanced analytics, data science, cybersecurity, information systems, engineering, software development, systems automation, data engineering, IT systems support"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fdee8f0a-c2f"},"title":"Principal Security Data Engineer, Infrastructure Security Engineering - DGX Cloud","description":"<p>Apply for the Principal Security Data Engineer position at NVIDIA. As a Principal Security Data Engineer within our Infrastructure Security Engineering organization, you will build the data backbone of our security control plane,the pipelines, lake, and analytics that turn fragmented telemetry from a 250,000+ GPU fleet into a single, queryable, trustworthy picture of security state.</p>\n<p><strong>What You Will Be Doing:</strong></p>\n<ul>\n<li>Security Data Pipelines: Design, build, and operate the ingestion and transformation pipelines that collect security telemetry and asset inventory from dozens of heterogeneous sources, and normalize them into one canonical model.</li>\n</ul>\n<ul>\n<li>Data Lake &amp; Lakehouse Engineering: Architect and run the storage layer. A data lake/lakehouse built on open formats, with the schema flexibility to absorb structured inventory, semi-structured telemetry, and unstructured logs without constant, breaking migrations.</li>\n</ul>\n<ul>\n<li>Security Analytics &amp; Detection Engineering: Build the query and analytics layer that powers posture scoring, coverage and drift metrics, freshness monitoring, and multi-source correlation.</li>\n</ul>\n<ul>\n<li>Securing the Data Layer Itself: Treat the data platform as a high-value target, because it is. The data you store is a map of every host, every gap, and every credential path. You will engineer encryption at rest and in transit, fine-grained RBAC/ABAC, non-repudiable audit logging, data classification, network isolation, and verifiable retention and purge.</li>\n</ul>\n<ul>\n<li>Data Quality &amp; Trust: Build for stable identity, source attribution, append-only history, and honest coverage. Make a source going quiet a finding, not silence, so that every downstream number comes with a known confidence.</li>\n</ul>\n<ul>\n<li>Multi-Functional Collaboration: Partner with the security control plane team, the inventory systems, identity and endpoint teams, and broader NVIDIA data and security organizations to define data contracts early, so these systems converge by design.</li>\n</ul>\n<p><strong>What We Need to See:</strong></p>\n<p>We truly recognize that a candidate who checks every single box is simply rare. We aren&#39;t looking for a checkbox hire; we are looking for high-caliber engineers with deep spikes of expertise in a few of these areas and the intellectual curiosity to dive into the rest. If your experience aligns with the core of this role,building data systems that are trustworthy at scale,and you can show us how, we want to hear from you!</p>\n<ul>\n<li>Data Engineering at Scale: 15+ years of experience designing, building, and operating production data pipelines, lakes, or lakehouses at high volume and throughput. You build systemic solutions rather than performing manual data wrangling or &#39;tool administration.&#39; Bachelor&#39;s degree or equivalent.</li>\n</ul>\n<ul>\n<li>Production-Grade Coding: A strong software engineering background with the ability to write clean, maintainable, and well-tested code (e.g., Python, Go, Scala, SQL). You should be comfortable building and operating production data services at scale.</li>\n</ul>\n<ul>\n<li>Data Modeling &amp; Schema Design: Proven ability to design canonical schemas and data models that span many disparate sources and evolve over time without breaking the consumers that depend on them.</li>\n</ul>\n<ul>\n<li>Distributed Data Systems: Hands-on experience with the modern data stacks, both streaming and batch processing, object storage, open table formats, and interactive query engines.</li>\n</ul>\n<ul>\n<li>Security-Minded Data Handling: You design data systems that are themselves defensible. Access control, encryption, audit, and isolation are first-class concerns in your work, and you understand that security data is among the most sensitive data an organization holds.</li>\n</ul>\n<ul>\n<li>Analytics Enablement: A track record of making large, messy datasets genuinely useful,serving interactive analysts, dashboards, and downstream services with data they can trust and query at low latency.</li>\n</ul>\n<ul>\n<li>Foundation: Bachelor&#39;s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).</li>\n</ul>\n<p><strong>Ways To Stand Out from the Crowd:</strong></p>\n<ul>\n<li>Security Telemetry &amp; Detection Engineering: Experience building SIEM or data-lake detection content, normalizing security logs into common schemas (e.g., OCSF, ECS), or engineering the data layer that feeds correlation and anomaly-detection systems.</li>\n</ul>\n<ul>\n<li>Real-Time &amp; Streaming Data: Expertise building low-latency, near-real-time pipelines where a correlation is only as fast as its slowest input, and detection is measured in minutes.</li>\n</ul>\n<ul>\n<li>HPC/AI Fleet Telemetry: Experience working with GPU and hardware telemetry (DCGM, Redfish/BMC, InfiniBand) or fleet-scale observability across hundreds of thousands of devices.</li>\n</ul>\n<ul>\n<li>AI-Ready Data: Experience engineering the data and feature layers that feed ML or LLM-based reasoning systems, enabling agents to correlate, predict, and act on trustworthy data. How have you made data safe to reason over?</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fdee8f0a-c2f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com/","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Security-Data-Engineer--Infrastructure-Security-Engineering---DGX-Cloud_JR2019415?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Engineering","Security Data Pipelines","Data Lake & Lakehouse Engineering","Security Analytics & Detection Engineering","Securing the Data Layer Itself","Data Quality & Trust","Multi-Functional Collaboration","Data Engineering at Scale","Production-Grade Coding","Data Modeling & Schema Design","Distributed Data Systems","Security-Minded Data Handling","Analytics Enablement","Foundation"],"x-skills-preferred":["Security Telemetry & Detection Engineering","Real-Time & Streaming Data","HPC/AI Fleet Telemetry","AI-Ready Data"],"datePosted":"2026-06-09T10:13:56.124Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Engineering, Security Data Pipelines, Data Lake & Lakehouse Engineering, Security Analytics & Detection Engineering, Securing the Data Layer Itself, Data Quality & Trust, Multi-Functional Collaboration, Data Engineering at Scale, Production-Grade Coding, Data Modeling & Schema Design, Distributed Data Systems, Security-Minded Data Handling, Analytics Enablement, Foundation, Security Telemetry & Detection Engineering, Real-Time & Streaming Data, HPC/AI Fleet Telemetry, AI-Ready Data"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d428cb91-dc9"},"title":"Principal Data Scientist","description":"<p>We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. Our mission is to empower every person on the planet to be informed, entertained, and inspired.</p>\n<p>As a Principal Data Scientist, you will be responsible for building metrics systems to measure Business Health and quickly identifying the root cause when metrics move. You will collaborate with cross-functional teams to understand features, estimate impacts, and drive engagement improvements based on insights from big data. You will also enhance products by evaluating performance metrics and user feedback, developing self-service dashboards and reports for various stakeholders using reporting platforms.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building metrics system to measure Business Health and quick identify the root cause when metrics moves.</li>\n<li>Collaborating with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data.</li>\n<li>Enhancing products by evaluating performance metrics and user feedback. 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We move fast, think boldly, and empower you to do the best work of your life. You&#39;ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won&#39;t just contribute. You&#39;ll make things happen–fast.</p>\n<p>As a Data Scientist III, you will leverage theory, data, and research to solve business problems. You will support data science and analytics efforts across multiple areas of the business including Sales, Marketing, Finance, HR, and related functions. You will contribute to building and improving measurement and reporting processes. 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approaches.</li>\n</ul>\n<p><strong>What You Bring (Required Qualifications)</strong></p>\n<ul>\n<li>Master&#39;s degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related).</li>\n</ul>\n<ul>\n<li>3+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment.</li>\n</ul>\n<ul>\n<li>Demonstrated experience translating business questions into data science problems and communicating findings to technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Proficiency in Python and SQL, and experience with data visualization tools such as Tableau.</li>\n</ul>\n<ul>\n<li>Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform.</li>\n</ul>\n<ul>\n<li>Working knowledge of applied statistical methods and machine learning techniques (e.g., regression, classification, time series, cross-validation, 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As a Data &amp; AI Platform Architect (Professional Services), you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform.</p>\n<p>You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.</p>\n<p>RSAs are billable and know how to complete projects according to specification with excellent customer service. 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If you&#39;re looking for a career where you can make a real impression, join HSBC and discover how valued you&#39;ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.</p>\n<p>In this role, you will design and develop ETL processes using various tools such as batch/streaming tools, Control-M, Datastage, Shell Scripting, and Python for cloud migration projects. 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You should be comfortable with greenfield work, have a strong instinct for what belongs in shared infrastructure versus what stays in a product team, and be a clear communicator able to represent technical decisions to senior leadership.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8c123963-276","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7968210?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$212,000-$265,000 USD","x-skills-required":["data engineering","platform engineering","distributed data systems","entity modeling","schema evolution","data contracts","real-time data processing"],"x-skills-preferred":[],"datePosted":"2026-06-02T05:04:33.622Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, platform engineering, distributed data systems, entity modeling, schema evolution, data contracts, real-time data processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ec2791c-cda"},"title":"IT Controls Data Engineer","description":"<p>We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. 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Systems Engineering, (or related field) or equivalent experience.</li>\n</ul>\n<ul>\n<li>8+ years in solutions or developer-facing roles in power systems, grid/industrial software, or data centers, with hands-on AI/ML, data engineering, time-series analytics, or edge systems.</li>\n</ul>\n<ul>\n<li>2+ years leading technical programs or developer communities (direct or matrix leadership).</li>\n</ul>\n<ul>\n<li>Experience in product development/management for power-system applications or modeling; familiar with SCADA/DCS, protective relaying, planning &amp; operations studies, and weather-to-grid workflows.</li>\n</ul>\n<ul>\n<li>Skilled in grid/industrial software, data-center power/thermal setups, and grid-interactive operations.</li>\n</ul>\n<ul>\n<li>Ability to translate operator and OT constraints into robust architectures; strong communication with developers and executives.</li>\n</ul>\n<ul>\n<li>Familiar with standards/security frameworks: IEC 61850, CIM, IEC 62351, NERC CIP (or equivalents).</li>\n</ul>\n<ul>\n<li>Willingness to travel ~25–40% to partner sites and events.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Product management/enablement at ABB, Emerson, Honeywell, Yokogawa, Vertiv, Eaton, Mitsubishi Electric, DIgSILENT, Schneider Electric, GE, or Oracle Utilities portfolio.</li>\n</ul>\n<ul>\n<li>Published acceleration or scale results on grid planning/stability, agent-based/grid simulations, or large-scale time-series analytics on GPUs.</li>\n</ul>\n<ul>\n<li>Hands-on deployments of computer vision or edge AI in substations, plants, or data centers (Jetson/IGX), including safety/resilience and OT/IT integration.</li>\n</ul>\n<ul>\n<li>Exposure to Generative AI in operator tools and workflows; familiar with weather modeling and power-system coupling.</li>\n</ul>\n<ul>\n<li>Contributions to public benchmarks, tutorials, or developer communities in grid/industrial tech.</li>\n</ul>\n<p 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contributions to public benchmarks, tutorials, or developer communities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_368f73a9-695"},"title":"Senior Solutions Architect - Lakebase","description":"<p>Job Title: Senior Solutions Architect - Lakebase</p>\n<p>Location: Berlin, Germany</p>\n<p>Department: Field Engineering - Other</p>\n<p>Job Description: The Solutions Architect (Lakebase) team executes on Databricks&#39; strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth.</p>\n<p>They are part of a global go-to-market team mandate, though individually will cover a specific, local region. 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More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.</p>\n<p>To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits:</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion:</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p>Compliance:</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_368f73a9-695","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8570587002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Transactional database (OLTP)","Big Data","Lakehouse","AI","Cloud infrastructure","Disaster recovery","High availability","Backup and recovery","Scale-out methods","Identity and security management","Migrations","SQL","Python","Data engineering","Data warehousing","ML","Governance","Transactional systems","App development","Streaming"],"x-skills-preferred":[],"datePosted":"2026-05-30T03:07:46.485Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Transactional database (OLTP), Big Data, Lakehouse, AI, Cloud infrastructure, Disaster recovery, High availability, Backup and recovery, Scale-out methods, Identity and security management, Migrations, SQL, Python, Data engineering, Data warehousing, ML, Governance, Transactional systems, App development, Streaming"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_821f966f-09b"},"title":"Senior Solutions Architect - Lakebase","description":"<p>The Solutions Architect (Lakebase) team executes on Databricks&#39; strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth.</p>\n<p>They are part of a global go-to-market team mandate, though individually will cover a specific, local region. 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This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organisation.</p>\n<p>As a Staff Engineer on the Observability team, you&#39;ll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest&#39;s large-scale distributed systems, helping thousands of engineers understand, debug, and optimise their services.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining and executing the observability roadmap, treating it as a product.</li>\n<li>Architecting, building, and scaling distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest&#39;s distributed systems.</li>\n<li>Building high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.</li>\n<li>Championing Best Practices: Establishing observability standards and patterns across the organisation, making it easy for teams to instrument their services and gain actionable insights.</li>\n<li>Technical Leadership: Mentoring engineers, leading architectural reviews, and influencing technical decisions across teams to improve overall system reliability and performance.</li>\n<li>Cross-functional Collaboration: Partnering with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability.</li>\n<li>Innovation: Staying current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront.</li>\n</ul>\n<p>To succeed in this role, you&#39;ll need:</p>\n<ul>\n<li>A bachelor&#39;s degree in Computer Science, Engineering, or a related field, or equivalent experience.</li>\n<li>A product mindset, with demonstrated ability to work backwards from customer needs.</li>\n<li>Deep expertise in distributed systems, with 7+ years of experience designing and operating large-scale distributed systems.</li>\n<li>Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing, and data modelling at scale.</li>\n<li>Hands-on experience with modern observability tools and practices, including metrics, logging, tracing, and profiling.</li>\n<li>Expert-level coding skills in languages like Java, Python, Go, or Scala.</li>\n<li>Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability.</li>\n<li>Experience building observability platforms from the ground up or significantly scaling existing solutions.</li>\n<li>Familiarity with cloud-native architectures and technologies.</li>\n<li>Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy.</li>\n<li>Experience with machine learning or anomaly detection applied to observability use cases.</li>\n<li>Strong communication skills with ability to influence stakeholders at all levels.</li>\n</ul>\n<p>In-office requirement statement: We let the type of work you do guide the collaboration style. That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</p>\n<p>Relocation statement: This position is not eligible for relocation assistance.</p>\n<p>At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_977df67f-3bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7954753?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$177,185-$364,795 USD","x-skills-required":["Distributed systems","Data engineering","Observability","Cloud-native architectures","Machine learning","Anomaly detection","Java","Python","Go","Scala"],"x-skills-preferred":[],"datePosted":"2026-05-27T02:07:36.235Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, Data engineering, Observability, Cloud-native architectures, Machine learning, Anomaly detection, Java, Python, Go, Scala","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177185,"maxValue":364795,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd0323d7-8b2"},"title":"Senior Designated Support Engineer","description":"<p>As a Senior Designated Support Engineer at Databricks, you will partner closely with Field and Engineering teams to deliver high-touch specialised support and tailored technical solutions for Databricks&#39; largest and most strategic customers in the Digital Native Business (DNB) segment.</p>\n<p>In this customer-facing role, you will leverage your technical expertise in Apache Spark and other data technologies to triage and resolve complex product issues and unblock our customers&#39; most critical technical challenges.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.</li>\n<li>Discover requirements for continuous monitoring to detect early performance issues working with R&amp;D and NOC teams to optimise the DNB customer environments.</li>\n<li>Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.</li>\n<li>Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.</li>\n<li>Pilot new best practices processes/programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.</li>\n<li>Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.</li>\n<li>Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Technical Expertise in Big Data and Spark: 5 – 8 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.</li>\n<li>Data Engineering Specialisation: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc</li>\n<li>Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimisation, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.</li>\n<li>Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.</li>\n<li>Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.</li>\n<li>Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.</li>\n<li>Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cd0323d7-8b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8564166002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Apache Spark","Big Data","Data Engineering","Cloud Computing","CI/CD","Machine Learning","Deep Learning","Generative AI","Spark Core Internals","Delta/Iceberg","JVM Optimisation","Memory Management"],"x-skills-preferred":[],"datePosted":"2026-05-27T02:07:29.209Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Apache Spark, Big Data, Data Engineering, Cloud Computing, CI/CD, Machine Learning, Deep Learning, Generative AI, Spark Core Internals, Delta/Iceberg, JVM Optimisation, Memory Management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac1c7125-89b"},"title":"Lead GTM Enablement & Scale Architect, Lakebase","description":"<p><strong>Lead GTM Enablement &amp; Scale Architect</strong></p>\n<p><strong>About Databricks</strong></p>\n<p>Databricks is a data and AI company that provides a unified and democratized data, analytics, and AI platform to over 10,000 organizations worldwide.</p>\n<p><strong>The Impact You Will Have</strong></p>\n<p>You will own the end-to-end enablement strategy that takes Lakebase from early adoption to a product every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the global GTM and enablement strategy for Lakebase for Field Engineering and Partner Technical Sales - from foundational knowledge through advanced competitive positioning</li>\n<li>Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact</li>\n<li>Drive a &#39;builder-first&#39; 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That lived experience is what makes your enablement credible</li>\n<li>Deep hands-on knowledge of PostgreSQL, OLTP databases, or cloud database services</li>\n<li>Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier, not a novelty</li>\n<li>Demonstrated ability to build enablement programs from scratch (0-to-1), not just iterate on existing content. You see a blank page as an opportunity, not a problem</li>\n<li>Strong product instinct: you can look at a feature roadmap and immediately see how it maps to customer use cases and competitive differentiation</li>\n<li>Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content</li>\n<li>The backbone to tell Product &#39;the field can&#39;t sell this because X&#39; - backed by data and field evidence</li>\n<li>Scaling mindset: everything you build needs to work for a global field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery</li>\n<li>Exceptional communication skills - you can make complex distributed systems concepts accessible to a broad technical audience</li>\n<li>Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience at a high-growth infrastructure company during a major product launch</li>\n<li>Background in both pre-sales and post-sales technical roles - you&#39;ve lived the full customer lifecycle</li>\n<li>Hands-on experience with Databricks or competitive platforms</li>\n<li>Experience building AI applications on operational databases (RAG patterns, agent architectures, etc.)</li>\n<li>You&#39;ve already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range: $217,800-$299,400 USD Zone 2 Pay Range: $196,000-$269,500 USD Zone 3 Pay Range: $185,100-$254,550 USD Zone 4 Pay Range: $174,200-$239,600 USD</p>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p><strong>Our Commitment to Diversity and Inclusion</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ac1c7125-89b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8548502002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$217,800-$299,400 USD","x-skills-required":["PostgreSQL","OLTP databases","Cloud database services","Solutions architecture","Technical pre-sales","Developer relations","Technical product marketing","Technical enablement","Distributed systems","Cloud data infrastructure"],"x-skills-preferred":["AI","Machine learning","Data engineering","Cloud computing","Containerization","DevOps","Agile development","Scrum","Kanban"],"datePosted":"2026-05-27T02:06:56.253Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PostgreSQL, OLTP databases, Cloud database services, Solutions architecture, Technical pre-sales, Developer relations, Technical product marketing, Technical enablement, Distributed systems, Cloud data infrastructure, AI, Machine learning, Data engineering, Cloud computing, Containerization, DevOps, Agile development, Scrum, Kanban","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":217800,"maxValue":299400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4856398-adc"},"title":"Senior Consultant Specialist","description":"<p>Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.</p>\n<p>We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.</p>\n<p>Business: CTO Data Technology</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Lead Data Platform As A Service solution design &amp; reviews; make clear trade-offs across resilience, performance, cost, and time-to-market</li>\n<li>Drive engineering excellence: CI/CD, automated testing, code quality, and release governance</li>\n<li>Leads by doing (not managing): guides engineers/teams through complexity and raises engineering standards through day-to-day actions</li>\n<li>Strong engineering fundamentals with a continuous improvement and Open Source First mindset; willing to learn the best tool/language for the problem</li>\n<li>Define reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native technology stacks with Open Source Stacks</li>\n<li>Modern delivery and operations experience: end-to-end ownership, continuous delivery/DevOps practices, and use of operational metrics (e.g., DORA)</li>\n<li>Broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery</li>\n<li>AI/ML technology evolution focus: stays current on applied Artificial Intelligence (including Generative AI) and identifies practical opportunities to embed AI into data and engineering workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality</li>\n</ul>\n<p>Requirements</p>\n<p>To be successful in this role, you should meet the following requirements:</p>\n<ul>\n<li>5+ years of experience in relevant technologies</li>\n<li>Deep subject matter expertise to implement Data Platform services, with strong teamwork, gathering information and analyzing, judgment and decision making, communication competencies</li>\n<li>Strong data technology delivery record in global capacity, as well as full literacy to articulate key technology trends (e.g. Data &amp; AI) and regulatory expectations (e.g. Data Privacy &amp; Localization etc) in context of HSBC</li>\n<li>Data Engineering (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS) with Open Source Stacks, Cloud SQL,</li>\n<li>Deep subject matter expertise on cloud-native technology, Git, Jenkins, Airflow, Pub/Sub/Kafka, CI/CD</li>\n<li>Practical experience with Agentic Engineering &amp; LLM services, including deploying/consuming endpoints</li>\n<li>Experience with IT automation tools and DevSecOps practices and technologies /WX</li>\n</ul>\n<p>You’ll achieve more when you join HSBC. 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largest and most strategic customers in the Digital Native Business (DNB) segment.</p>\n<p>In this customer-facing role, you will leverage your technical expertise in Apache Spark and other data technologies to triage and resolve complex product issues and unblock our customers&#39; most critical technical challenges.</p>\n<p><strong>The Impact You Will Have</strong></p>\n<ul>\n<li>Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.</li>\n<li>Discover requirements for continuous monitoring to detect early performance issues working with R&amp;D and NOC teams to optimize the DNB customer environments.</li>\n<li>Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.</li>\n<li>Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.</li>\n<li>Pilot new best practices processes/programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.</li>\n<li>Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.</li>\n<li>Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.</li>\n<li>Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc</li>\n<li>Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.</li>\n<li>Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.</li>\n<li>Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.</li>\n<li>Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. 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biggest challenges in data engineering, analytics, AI, and data science.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Be the trusted technical advisor for one or more named strategic accounts , building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.</li>\n</ul>\n<ul>\n<li>Help shape and drive your customer&#39;s AI strategy , partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks.</li>\n</ul>\n<ul>\n<li>Partner with the sales team and provide hands-on technical leadership to help large enterprise customers understand how Databricks can help solve their business problems across the full data and AI lifecycle.</li>\n</ul>\n<ul>\n<li>Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI, including validating integrations with cloud services, in-house tools, and third-party applications.</li>\n</ul>\n<ul>\n<li>Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.</li>\n</ul>\n<ul>\n<li>Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role.</li>\n</ul>\n<ul>\n<li>8+ years hands-on experience with Big Data and AI technologies, including Apache Spark, data engineering, data science, and modern AI/ML workloads.</li>\n</ul>\n<ul>\n<li>Strong hands-on architectural experience , able to whiteboard, design, and personally build end-to-end solutions, not just advise.</li>\n</ul>\n<ul>\n<li>Demonstrated experience working with large enterprise or Fortune 500 customers; 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We&#39;re looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability.</p>\n<p>This role will build and scale forecasting models for our existing book of business, helping transform a historically manual, assumption-heavy process into a robust, production-oriented forecasting engine that improves forecast quality, consistency, and speed.</p>\n<p>Working closely with Commercial Operations, Finance, Data Engineering, and Applied Statistics, this person will design, deploy, and monitor forecasting solutions that support critical planning and decision-making across the business.</p>\n<p>The ideal candidate combines strong technical depth in time-series and predictive modeling with the ability to operate in ambiguous business contexts, translate commercial questions into scalable analytical solutions, and provide technical leadership in how forecasting is built at Omada.</p>\n<p>Your Impact:</p>\n<ul>\n<li>Design, build, and automate Omada’s core enrollment forecasting engine for the existing book of business, significantly reducing manual effort and increasing forecast reliability and reproducibility.</li>\n</ul>\n<ul>\n<li>Translate commercial planning questions into scalable forecasting solutions, partnering closely with Commercial Operations, Sales, Marketing, and Finance to ensure the models reflect real-world dynamics and are usable in day-to-day decision making.</li>\n</ul>\n<ul>\n<li>Establish and own best practices for model development, backtesting, performance monitoring, and alerting for enrollment forecasts, helping Omada move from one-off analyses to a robust, production-grade forecasting capability.</li>\n</ul>\n<ul>\n<li>Improve forecast accuracy and responsiveness over time by continuously experimenting with new data sources, features, and modeling techniques, and systematically incorporating learnings from forecast performance.</li>\n</ul>\n<ul>\n<li>Act as the primary 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cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance) using data-driven insights, including framing uncertainty, risk, and scenario ranges in an executive-friendly way.</li>\n</ul>\n<ul>\n<li>High degree of ownership and bias toward action: willing to dive into data, prototypes, and code while also stepping back to design scalable systems and long-term improvements to forecasting capabilities.</li>\n</ul>\n<ul>\n<li>Comfortable working in a fast-changing environment where GTM motions, products, and partner needs evolve quickly, and where you help drive clarity through structure, process, and analytics.</li>\n</ul>\n<p>Bonus Points for:</p>\n<ul>\n<li>Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high-growth, evolving, or public-company environment.</li>\n</ul>\n<ul>\n<li>Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries with multi-stakeholder sales cycles.</li>\n</ul>\n<ul>\n<li>Prior work supporting capacity planning or operational forecasting alongside care delivery, supply chain, or customer support teams.</li>\n</ul>\n<ul>\n<li>Familiarity with Salesforce data models and RevOps processes (pipeline management, incentive compensation, territory / quota design).</li>\n</ul>\n<ul>\n<li>Passion for leveraging data, analytics, and emerging technologies (e.g., advanced BI, AI-driven forecasting) to improve healthcare and outcomes for people living with chronic conditions.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n</ul>\n<ul>\n<li>Equity grants</li>\n</ul>\n<ul>\n<li>Remote first work from home culture</li>\n</ul>\n<ul>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones</li>\n</ul>\n<ul>\n<li>Generous parental leave</li>\n</ul>\n<ul>\n<li>Health, dental, and vision insurance (and above market employer contributions)</li>\n</ul>\n<ul>\n<li>401k retirement savings plan</li>\n</ul>\n<ul>\n<li>Lifestyle Spending Account (LSA)</li>\n</ul>\n<ul>\n<li>Mental Health Support Solutions</li>\n</ul>\n<p>...and more!</p>\n<p>It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!</p>\n<ul>\n<li>Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.</li>\n</ul>\n<ul>\n<li>Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.</li>\n</ul>\n<ul>\n<li>Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.</li>\n</ul>\n<ul>\n<li>Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.</li>\n</ul>\n<ul>\n<li>Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.</li>\n</ul>\n<ul>\n<li>Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.</li>\n</ul>\n<p>About Omada Health:</p>\n<p>Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today&#39;s healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.</p>\n<p>Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.</p>\n<p>We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity,</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_879a4997-17e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Omada Health","sameAs":"https://omadahealth.com","logo":"https://logos.yubhub.co/omadahealth.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/omadahealth/jobs/7944334?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Time-series modeling","Predictive modeling","Forecasting","Machine learning","Data science","Data engineering","Data analysis","Data visualization"],"x-skills-preferred":["Gradient boosting","Generalized linear models","Hierarchical or panel forecasting","GLP-1 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a hands-on engineering manager to lead technical and product strategy and execution for People Innovation Labs’ OpenHouse pod. 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We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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Expectations are high, and so are the rewards.</p>\n<p>The Capacity &amp; Efficiency Engineering team focuses on building software to manage, govern, and reduce Robinhood’s AWS cloud spend.</p>\n<p>The team operates at the intersection of cloud infrastructure, data engineering, and FinOps, owning systems that attribute cloud costs to real consumers, detect spend anomalies, and surface actionable insights.</p>\n<p>This is a high-visibility team whose work directly impacts company-level cost efficiency and long-term scalability!</p>\n<p>As a Senior Software Engineer on the Capacity &amp; Efficiency Engineering team, you will design and build systems that make cloud costs transparent, predictable, and controllable.</p>\n<p>You’ll work closely with engineers, Data Science, and Infrastructure partners to develop tooling that detects inefficiencies, tracks over-provisioning, and enables teams to take concrete action to reduce waste across AWS and Kubernetes environments.</p>\n<p>This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.</p>\n<p>Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Build and maintain software systems that detect, track, and attribute AWS cloud costs to the correct teams, services, and workloads</li>\n</ul>\n<ul>\n<li>Develop tooling to identify cost anomalies, regressions, and over-provisioned resources across Kubernetes and managed services</li>\n</ul>\n<ul>\n<li>Partner with Data Science to support forecasting models, unit economics, and projections that surface future cost risks</li>\n</ul>\n<ul>\n<li>Analyze infrastructure usage patterns to identify inefficiencies and implement technical solutions that reduce cloud spend</li>\n</ul>\n<ul>\n<li>Collaborate with partner teams to land efficiency improvements, validate cost reductions, and track remediation outcomes</li>\n</ul>\n<p><strong>What you bring</strong></p>\n<ul>\n<li>Experience building and operating production systems in a cloud-native environment, ideally on AWS</li>\n</ul>\n<ul>\n<li>Strong proficiency with Kubernetes and a practical understanding of resource efficiency and capacity planning</li>\n</ul>\n<ul>\n<li>Experience working on infrastructure, platform, or data-heavy systems where cost, scale, and reliability matter</li>\n</ul>\n<ul>\n<li>Ability to reason about cloud cost models, including tradeoffs between performance, reliability, and spend</li>\n</ul>\n<ul>\n<li>Clear communication skills and comfort working with partner teams to explain findings and technical recommendations</li>\n</ul>\n<p><strong>What we offer</strong></p>\n<ul>\n<li>Challenging, high-impact work to grow your career.</li>\n</ul>\n<ul>\n<li>Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>\n</ul>\n<ul>\n<li>Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>\n</ul>\n<ul>\n<li>Lifestyle wallet , a highly flexible benefits spending account for wellness, learning, and more.</li>\n</ul>\n<ul>\n<li>Employer-paid life &amp; 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The largest transfer of wealth in human history.</p>\n<p>If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p>\n<p><strong>About the team + role</strong></p>\n<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.</p>\n<p>Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.</p>\n<p>We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>\n<p>The Data Engineering team builds and maintains the foundational datasets that power decision-making across Robinhood.</p>\n<p>We design reliable, scalable data systems that support product analytics, growth strategy, financial reporting, experimentation, and machine learning.</p>\n<p>The team partners closely with Product, Engineering, Data Science, and Finance to ensure accurate, well-modeled data is available to teams across the company.</p>\n<p>Our work directly influences how Robinhood measures performance, improves customer experience, and scales its products.</p>\n<p>As a Senior Data Engineer, you will design, build, and evolve core datasets that track product performance and company-wide metrics.</p>\n<p>You will develop scalable data pipelines that ingest application events and database snapshots into our data lake, ensuring high data quality and reliability.</p>\n<p>You’ll collaborate with application engineers to improve data generation patterns and with analytics teams to design intuitive, well-documented data models.</p>\n<p>This is an opportunity to shape the technical foundation that supports data-informed decisions across the organization!</p>\n<p>This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.</p>\n<p>Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Help define and build key datasets across all Robinhood product areas.</li>\n</ul>\n<ul>\n<li>Lead the evolution of these datasets as use cases grow.</li>\n</ul>\n<ul>\n<li>Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.</li>\n</ul>\n<ul>\n<li>Partner with upstream engineering teams to enhance data generation patterns.</li>\n</ul>\n<ul>\n<li>Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models.</li>\n</ul>\n<ul>\n<li>Ideate and contribute to shared data engineering tooling and standards.</li>\n</ul>\n<ul>\n<li>Define and promote data engineering best practices across the company.</li>\n</ul>\n<p><strong>What you bring</strong></p>\n<ul>\n<li>5+ years of professional experience building end-to-end data pipelines.</li>\n</ul>\n<ul>\n<li>Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation).</li>\n</ul>\n<ul>\n<li>Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc).</li>\n</ul>\n<ul>\n<li>Strong SQL (Presto, Spark SQL, etc) skills.</li>\n</ul>\n<ul>\n<li>Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms).</li>\n</ul>\n<ul>\n<li>Expert collaborator with the ability to democratize data through actionable insights and solutions.</li>\n</ul>\n<p><strong>What we offer</strong></p>\n<ul>\n<li>Challenging, high-impact work to grow your career.</li>\n</ul>\n<ul>\n<li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>\n</ul>\n<ul>\n<li>Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>\n</ul>\n<ul>\n<li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.</li>\n</ul>\n<ul>\n<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits.</li>\n</ul>\n<ul>\n<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>\n</ul>\n<ul>\n<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>\n</ul>\n<p>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</p>\n<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.</p>\n<p>The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.</p>\n<p>For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>\n<p>Base Pay Range:</p>\n<p>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $196,000-$230,000 USD</p>\n<p>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $172,000-$202,000 USD</p>\n<p>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $153,000-$179,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3084b139-c47","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Robinhood","sameAs":"https://www.robinhood.com/","logo":"https://logos.yubhub.co/robinhood.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/robinhood/jobs/4738660?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $196,000-$230,000 USD\n\nZone 2 (Denver, CO; Westlake, TX; Chicago, IL): $172,000-$202,000 USD\n\nZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $153,000-$179,000 USD","x-skills-required":["Python","Spark","Airflow","SQL","Data Engineering","Data Pipelines","Data Modeling","Data Visualization"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:54:36.649Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Spark, Airflow, SQL, Data Engineering, Data Pipelines, Data Modeling, Data Visualization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":153000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae27bd5d-d66"},"title":"Platform Intelligence Engineer","description":"<p>A Platform Intelligence Engineer is the engine behind Palantir&#39;s most strategic and important operations. They design, create, and maintain the critical data infrastructure layer that powers decision-making across the business.</p>\n<p>This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir&#39;s internal strategic and tactical performance.</p>\n<p>You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams.</p>\n<p>You will use Palantir&#39;s platforms, just as Palantir&#39;s customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes.</p>\n<p>Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs.</p>\n<p><strong>Core Responsibilities</strong></p>\n<ul>\n<li>Design and implement enterprise data pipelines in Python</li>\n<li>Develop KPIs, create project plans, implement Pipelines that utilize data engineering best practices</li>\n<li>Monitor pipelines for stability, suggest and implement efficiency initiatives</li>\n<li>Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across Palantir&#39;s platforms</li>\n<li>Own projects end-to-end while communicating with stakeholders about milestones and performance</li>\n<li>Create engineering awareness and drive behavior change in the product organization in line with the team&#39;s mission and goals</li>\n<li>Use Palantir&#39;s platform to create data analysis and supporting visualizations, operational applications and executive dashboards</li>\n<li>Articulate feedback from real-world use for Palantir&#39;s software engineering teams to help improve Palantir&#39;s overall offerings</li>\n<li>Become an expert on foundational data that underpins Palantir&#39;s software development, cost drivers, and internal operations</li>\n<li>Respond to strategic, tactical, and analytical questions from within Palantir about data and operations</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Experience with designing, building, and managing data pipelines</li>\n<li>Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work</li>\n<li>Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams</li>\n<li>Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved</li>\n<li>Keen interest in learning new tools and approaches to problems</li>\n<li>Love for bringing order to ambiguity</li>\n<li>Active US Security clearance or eligibility and willingness to obtain a US Security clearance is desirable</li>\n</ul>\n<p><strong>What We Require</strong></p>\n<ul>\n<li>Expertise and experience in Python</li>\n<li>Degree in Data Science, Finance, Math, Engineering, Computer Science or other similar quantitative fields</li>\n<li>3+ years of relevant work experience</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The estimated salary range for this position is estimated to be $110,000 - $150,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae27bd5d-d66","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Palantir","sameAs":"https://www.palantir.com/","logo":"https://logos.yubhub.co/palantir.com.png"},"x-apply-url":"https://jobs.lever.co/palantir/a753a9e7-a361-426b-9c25-3cf2488c1730?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$110,000 - $150,000/year","x-skills-required":["Python","Data pipelines","KPIs","Project management","Data engineering","Data analysis","Visualization","Operational applications","Executive dashboards"],"x-skills-preferred":[],"datePosted":"2026-04-25T20:53:32.136Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Data pipelines, KPIs, Project management, Data engineering, Data analysis, Visualization, Operational applications, Executive dashboards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":150000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f14ebeae-540"},"title":"Data Engineer","description":"<p><strong>About the Role</strong></p>\n<p>At xAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission.</p>\n<p>Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale.</p>\n<p>As a Data Engineer / AI Engineer on xAI&#39;s Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality evaluation, and delivery for model training. You will work closely with acquisition teams, ML engineers, and software engineers to identify data needs, build scalable data pipelines, and continuously improve the quality of the data that shapes model behavior.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Analyze the performance and impact of data used throughout the model training lifecycle</li>\n<li>Investigate anomalous model behavior and rigorously identify the data issues that drive poor downstream performance</li>\n<li>Design, build, and improve the data cleaning, transformation, and quality-control steps required to produce high-quality training data</li>\n<li>Research, evaluate, and develop frontier methods for improving data quality and effectiveness in AI model development</li>\n<li>Apply statistical techniques and empirical analysis to make informed, data-driven decisions about dataset quality and model outcomes</li>\n<li>Partner across teams to identify where data needs exist and define the highest-impact opportunities for new data acquisition and improvement</li>\n<li>Build and maintain production-grade data pipelines, tooling, and software systems that ingest, process, validate, and deliver data for training</li>\n<li>Develop metrics, evaluation frameworks, and monitoring systems to assess how data quality influences model behavior at scale</li>\n<li>Fuse data from multiple sources into reliable, usable datasets for research and production model training</li>\n<li>Create shared datasets, tooling, and internal data products that enable other teams to analyze, debug, and improve model performance</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in computer science, data science, physics, mathematics, or a STEM discipline</li>\n<li>1+ years of data/software engineering experience (internship experience is applicable)</li>\n</ul>\n<p><strong>Preferred Skills and Experience</strong></p>\n<ul>\n<li>Professional experience in analytics, data science, machine learning, or data engineering</li>\n<li>Experience building and operating production data pipelines for neural network or large-scale machine learning workloads</li>\n<li>Strong experience with Python and the broader ecosystem of libraries and tools used in modern machine learning and data development</li>\n<li>Experience working with Parquet or similar columnar storage formats in large-scale data systems</li>\n<li>Familiarity with Kubernetes and distributed production environments</li>\n<li>Experience developing predictive models and machine learning pipelines, including clustering, forecasting, anomaly detection, or related techniques</li>\n<li>Experience working with very large-scale datasets, including terabyte- to petabyte-scale data systems</li>\n<li>Strong statistical intuition and the ability to use quantitative analysis to guide technical and product decision, including familiarity of scaling ladder design studies</li>\n<li>Ability to operate effectively in a dynamic environment with evolving priorities, changing requirements, and fast-moving technical challenges</li>\n<li>Demonstrated ability to take ownership of ambiguous problems, drive projects independently, and develop new expertise where needed</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>$240,000 - $280,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f14ebeae-540","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5120884007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$240,000 - $280,000 USD","x-skills-required":["Python","Parquet","Kubernetes","Machine Learning","Data Science","Data Engineering","Statistics","Quantitative Analysis"],"x-skills-preferred":["Analytics","Predictive Models","Clustering","Forecasting","Anomaly Detection"],"datePosted":"2026-04-25T13:04:17.077Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Parquet, Kubernetes, Machine Learning, Data Science, Data Engineering, Statistics, Quantitative Analysis, Analytics, Predictive Models, Clustering, Forecasting, Anomaly Detection","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":280000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae716668-edd"},"title":"Data/ Information Architect","description":"<p>We made history and now we work to transform the future – for our customers, our communities and our families. You&#39;ll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.</p>\n<p>Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.</p>\n<p><strong>In this position...</strong></p>\n<p>We are seeking an experienced Data/Information Architect to provide data architecture for Ford Motor Company&#39;s Industrial Systems (IS) Data Strategy.</p>\n<p>As a Data/Information Architect, you&#39;ll be responsible for designing and implementing a robust and scalable data strategy based on data-centric principles. You will also guide the implementation of the IS data Platform. You will collaborate with stakeholders and product teams to define data domains, onboard source systems, create data models, ensure data quality, map source to domain, assist in creating contracts, and provide architectural guidance for the implementation of the IS data platform. You will also maintain changes to the Enterprise Data Model (EDM) and IS Conceptual Data Model.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and develop information data models including EDM, Conceptual, logical and physical data models for Industrial Systems. Manage and maintain the models in a Power Designer repository.</li>\n<li>Map Application to Conceptual Data Model, Business Process and Business Capability</li>\n<li>Support product team’s intake process, understanding business requirements, translating them into people, process, data and system requirements, applying data architectural principles, and providing expert guidance.</li>\n<li>Lead the discovery and analysis phase of Industrial Systems Data Platform, ensure a deep understanding of our data landscape and facilitate integration of diverse sources into a unified data model</li>\n<li>Provide data analytics guidance to product teams.</li>\n<li>Lead conceptual discussions to understand the organization&#39;s data landscape. Identify and evaluate candidate data sources, maintain data models and data dictionaries for all identified source systems. Develop and define Canonical Domain Models</li>\n<li>Profile source system data, define comprehensive data quality requirements, identify data quality dimensions and metrics. Provide guidance on data quality monitoring, measuring, reporting and addressing issues.</li>\n<li>Establish data architecture principles, data standards, best practices, and guidelines for the design of the data platform including data catalog, data lineage, observability, security and interoperability</li>\n<li>Perform proof of concepts and guide Product team members to design and develop using different GCP data engineering technologies and tools.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience</li>\n<li>8+ years overall IT experience.</li>\n<li>5+ years of Data Architecture, Data Engineering, or advanced Database Design/Modeling experience in designing or implementing OLTP/RDBMS databases, Data Warehouse, Data Marts.</li>\n<li>Additional Data Architecture/Design skills may include:</li>\n</ul>\n<p>+ Knowledge of Master Data Management concepts and tools   + Functional and Architecture Experience with one or more PLM platforms (e.g., Siemens’ Teamcenter, Dassault’s 3D Experience)   + Knowledge of TOGAF, DAMA Architecture Framework and Standards   + Ability to define data architecture principles, guidelines and standards</p>\n<ul>\n<li>4+ years of hands-on experience creating data models using data modeling tools (e.g. Power Designer)</li>\n<li>2+ years of experience in GCP technologies including Big Query, Alloy DB, PostgreSQL, Cloud Run, Mongo DB, Data Flow.</li>\n</ul>\n<p><strong>Even better, you may have...</strong></p>\n<ul>\n<li>Master’s degree in Computer Science, Data Analytics, Information Systems or similar field.</li>\n<li>Strong collaboration, people skills and communication expertise.</li>\n<li>Experience influencing/ guiding product teams in data analytics.</li>\n<li>Experience in defining and implementing data quality initiatives.</li>\n<li>Expertise in interoperability standards and methods</li>\n<li>Outstanding and proven leadership skills in working with senior-level management helping in decision-making.</li>\n<li>Demonstrated ability to work on multiple projects simultaneously.</li>\n<li>Strong ability to self-manage and develop work plans that employ appropriate methods to resolve ambiguity and build consensus for an architectural solution</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae716668-edd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://www.ford.com/","logo":"https://logos.yubhub.co/ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61268?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$86,600-166,200","x-skills-required":["data architecture","data engineering","database design","data modeling","GCP technologies","Big Query","Alloy DB","PostgreSQL","Cloud Run","Mongo DB","Data Flow"],"x-skills-preferred":[],"datePosted":"2026-04-25T12:14:05.703Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"data architecture, data engineering, database design, data modeling, GCP technologies, Big Query, Alloy DB, PostgreSQL, Cloud Run, Mongo DB, Data Flow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":86600,"maxValue":166200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5a34b06b-346"},"title":"Staff Product Manager (Data Onboarding)","description":"<p><strong>Category-defining tech. Career-defining work.</strong></p>\n<p>Lots of tech companies disrupt. But, many fail when they try to scale. We&#39;re different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we&#39;re helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact.</p>\n<p><strong>Because when our customers win, we all win.</strong></p>\n<p><strong>The Role</strong></p>\n<p>We are looking for a seasoned Product Manager to own the end-to-end CockroachDB Data Onboarding user journey , the critical on-ramp for every CockroachDB customer. You will define the strategy, product direction, and measurable outcomes that transform complex migrations from databases like PostgreSQL, Oracle, MySQL, and SQL Server into a predictable, low-friction, and self-service experience, powered by AI-native tooling.</p>\n<p>Your north star: any user can go from schema introspection to a successful data load in under an hour. This is a deeply customer-centric role that sits at a critical inflection point in CockroachDB’s growth. Migrations are among the most painful and high-stakes steps in adopting any database platform , and a friction point in our sales motion today.</p>\n<p>The migration experience spans schema conversion, bulk data ingestion, compatibility validation, and live cutover, and it must work seamlessly across a diverse set of source databases and deployment environments. Strong data onboarding shortens time-to-production, reduces dependency on professional services, and builds early trust in the platform. This is CockroachDB’s front door, and you will define what it means to walk through it confidently.</p>\n<p>Large language models are poised to fundamentally transform what is possible with database migrations, turning what has historically been one of the most manual, expert-intensive workflows in enterprise software into something that could be self-service. As the PM for Data Onboarding, you will be at the frontier of a new class of AI-native developer tooling, and you will wrestle with some of the most interesting product questions of our time:</p>\n<p>What are the right economics of embedding LLMs in a migration workflow , and who bears the token costs?</p>\n<p>Should customers bring their own model or API key, or does CockroachDB provide a fully managed AI experience hosting the models ourselves?</p>\n<p>How do you design for trust when an LLM is making schema decisions on behalf of a DBA?</p>\n<p>How do you measure and improve AI accuracy in a domain where a wrong data type mapping can break production?</p>\n<p>These are open questions without obvious answers, and this role puts you squarely at the center of defining them.</p>\n<p><strong>You Will</strong></p>\n<p>Own the end-to-end journey. Lead the full lifecycle of the Data Onboarding experience , from initial schema introspection through data load, cutover, and post-migration validation , across all supported source databases.</p>\n<p>Define metrics that capture migration completion rates, time-to-value, and customer support signal to surface gaps and drive continuous improvement across all customer personas: Architects, DBAs, and Developers.</p>\n<p>Build a problem-first, data-driven strategy. Deeply understand the pain customers face during migrations: fragmented tooling, incomplete compatibility coverage, manual workarounds, and the lack of prescriptive guidance that leaves teams without a clear path forward.</p>\n<p>Define a roadmap that balances AI-augmented schema conversion, unified migration tooling, expanded database source coverage, and self-service capabilities , prioritizing using a combination of qualitative customer signals and quantitative migration funnel data.</p>\n<p>Deliver measurable outcomes. Set and track success metrics spanning self-service migration completion rates, reduction in migration-related professional services engagements, and time-to-first-successful-import.</p>\n<p>Ensure product changes deliver real, validated value and iterate rapidly when they don’t.</p>\n<p>Lead with clarity and customer centricity. Act as the voice of the customer , particularly Architects evaluating migration risk and DBAs managing the cutover process , in all strategic decisions.</p>\n<p>Communicate complex migration trade-offs clearly across Engineering, Marketing, Sales, and Executives, aligning teams around a coherent narrative: migrating to CockroachDB is fast, low-risk, and genuinely self-service.</p>\n<p>Drive cross-functional alignment on how data onboarding improvements shorten sales cycles and reduce professional services dependency.</p>\n<p>Apply an AI-first mindset. Lead the development and evolution of AI-native migration tooling as the centerpiece of a unified, end-to-end migration experience.</p>\n<p>Identify opportunities to apply large language models to schema conversion, data type mapping, error remediation, and migration guidance , eliminating hard-fail outcomes and reducing the manual effort that defines migrations today.</p>\n<p><strong>The Expectations</strong></p>\n<p>In the first 30–60 days, you will go through PM onboarding with your onboarding mentor (Roachmate). You will familiarize yourself with CockroachDB’s current migration tooling. You will run a complete end-to-end migration from a PostgreSQL or Oracle source, experiencing the workflow firsthand: schema conversion, compatibility gaps, bulk loading, and verification.</p>\n<p>You’ll review the existing backlog, speak with customers and prospects who have recently migrated (or stalled), and align with Engineering leads across the migration tooling teams.</p>\n<p>After 90 days, you will be fully integrated into the team. You will have conducted deep customer calls to understand migration blockers, support escalations, and the specific friction points that slow or derail time-to-production.</p>\n<p>You will own the strategy and a prioritized roadmap with clear problem statements backed by migration funnel data and customer evidence.</p>\n<p>As the owner of CockroachDB’s front door, you will advise senior leadership on how data onboarding investments drive new lands, reduce professional services costs, and shorten sales cycles.</p>\n<p>You will partner closely with Sales to ensure migration narratives are field-ready and directly tied to product capabilities you are shipping.</p>\n<p><strong>You Have</strong></p>\n<p>A computer science degree and/or first-hand experience building products focused on databases, data engineering, ETL/ELT pipelines, or developer tooling</p>\n<p>4+ years of total work experience with enterprise or SaaS products</p>\n<p>Proven track record of improving user journeys while leveraging both qualitative and quantitative data</p>\n<p>Delivered successful customer-facing products or features by partnering with senior Engineering teams in a fast-moving environment</p>\n<p>Background working directly with medium-to-large enterprises , understanding their operational and economic constraints, setting proper timelines, and managing expectations with internal stakeholders and external teams</p>\n<p>Experience driving business results through influential communication and cross-functional stakeholder management across Engineering, PMM, Sales, and Finance</p>\n<p>A collaborative approach and eagerness to partner with other product teams and all functions in the company, including Legal, Finance, Marketing, and Sales</p>\n<p><strong>Nice to Have</strong></p>\n<p>An MBA and/or experience working with business stakeholders (e.g., Sales, Revenue)</p>\n<p>Familiarity with database migration tools, schema conversion, or ETL/ELT systems</p>\n<p>Experience building AI-assisted or LLM-powered developer tools</p>\n<p><strong>The Team</strong></p>\n<p>Reporting to Lakshmi Kannan, Sr. Director of Product Management. Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5a34b06b-346","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cockroach Labs","sameAs":"https://www.cockroachlabs.com/","logo":"https://logos.yubhub.co/cockroachlabs.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cockroachlabs/jobs/7852365?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["database","data engineering","ETL/ELT pipelines","developer tooling","computer science","AI-native migration tooling","large language models","schema conversion","data type mapping","error remediation","migration guidance"],"x-skills-preferred":[],"datePosted":"2026-04-25T12:07:32.891Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database, data engineering, ETL/ELT pipelines, developer tooling, computer science, AI-native migration tooling, large language models, schema conversion, data type mapping, error remediation, migration guidance"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2adc3268-fed"},"title":"Data Engineer","description":"<p>Why join us</p>\n<p>Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most.</p>\n<p>Tens of thousands of the world&#39;s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p>\n<p>Data at Brex</p>\n<p>Our Scientists and Engineers work together to make data , and insights derived from data , a core asset across Brex. But it&#39;s more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex&#39;s decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.</p>\n<p>What You’ll Do</p>\n<p>As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You&#39;ll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.</p>\n<p>Where you’ll work</p>\n<p>This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.</li>\n</ul>\n<ul>\n<li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.</li>\n</ul>\n<ul>\n<li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li>\n</ul>\n<ul>\n<li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li>\n</ul>\n<ul>\n<li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li>\n</ul>\n<ul>\n<li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li>\n</ul>\n<ul>\n<li>Use agentic AI where it speeds up pipeline and quality work, without skipping validation.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li>\n</ul>\n<ul>\n<li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li>\n</ul>\n<ul>\n<li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li>\n</ul>\n<ul>\n<li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li>\n</ul>\n<ul>\n<li>Experience working with a data warehouse such as Snowflake.</li>\n</ul>\n<ul>\n<li>Experience with a data workflow orchestrator tool such as Airflow.</li>\n</ul>\n<ul>\n<li>Experience with a programming language such as Python.</li>\n</ul>\n<ul>\n<li>Experience with agentic AI.</li>\n</ul>\n<ul>\n<li>Exceptional quantitative and analytical skills.</li>\n</ul>\n<ul>\n<li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Familiarity with BI tools such as Looker, Tableau, or similar platforms.</li>\n</ul>\n<ul>\n<li>Solid dbt in production: models, tests, docs, and collaboration in a shared repo.</li>\n</ul>\n<ul>\n<li>AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.</li>\n</ul>\n<ul>\n<li>Experience with Salesforce data integration.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2adc3268-fed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex LLC","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8523806002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data engineering","data analytics","sql","python","airflow","snowflake","agentic ai"],"x-skills-preferred":[],"datePosted":"2026-04-25T12:07:19.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo, São Paulo, Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"data engineering, data analytics, sql, python, airflow, snowflake, agentic ai"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b680fcb5-a33"},"title":"Sr. Solutions Architect - Strategic AI Native","description":"<p>As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.</p>\n<p>Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.</p>\n<p>You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.</li>\n</ul>\n<ul>\n<li>Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science, and machine learning, and SQL analysis workflows.</li>\n</ul>\n<ul>\n<li>As well as validating integrations with cloud services, homegrown tools, and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.</li>\n</ul>\n<ul>\n<li>Experience building distributed data systems.</li>\n</ul>\n<ul>\n<li>Comfortable programming in, and debugging, Python and SQL.</li>\n</ul>\n<ul>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)</li>\n</ul>\n<p>Available to travel to customers in your region.</p>\n<p>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</p>\n<p>Nice to have: Databricks Certification.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b680fcb5-a33","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8458028002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$219,100-$301,300 USD","x-skills-required":["data engineering","data science","technical architecture","pre-sales/consulting","Python","SQL","AWS","Azure","GCP","Spark","Hadoop","Kafka","pandas","scikit-learn","pytorch","Tensorflow"],"x-skills-preferred":[],"datePosted":"2026-04-25T12:06:45.901Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Arizona; Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data science, technical architecture, pre-sales/consulting, Python, SQL, AWS, Azure, GCP, Spark, Hadoop, Kafka, pandas, scikit-learn, pytorch, Tensorflow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":219100,"maxValue":301300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3e46ae11-548"},"title":"Staff Software Engineer","description":"<p>We&#39;re looking for an experienced Staff Software Engineer to join our team. As a Staff Software Engineer, you will design, build, and operate high-quality data lakes and software systems that feed them. You will write production-grade software, services, APIs, tooling, and automation that enables data workflows and integrations at scale. You will also collaborate with technical leads, product managers, and data analysts to build robust data products and analytics.</p>\n<p>Some of the key responsibilities of this role include:</p>\n<ul>\n<li>Designing, building, and operating high-quality data lakes and software systems that feed them</li>\n<li>Writing production-grade software, services, APIs, tooling, and automation that enables data workflows and integrations at scale</li>\n<li>Collaborating with technical leads, product managers, and data analysts to build robust data products and analytics</li>\n<li>Finding innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges</li>\n<li>Leveraging AI to democratize access to datasets for users throughout Starburst</li>\n</ul>\n<p>We&#39;re looking for someone with at least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both. 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products.</p>\n<p>The role also involves leading Agile ceremonies, maintaining a clear product backlog, monitoring data product performance, and continuously identifying areas for improvement.</p>\n<p>The ideal candidate will have proven experience as a Product Owner, ideally in data or analytics domains, and a strong understanding of data engineering, data architecture, and cloud platforms.</p>\n<p>They will also have excellent stakeholder management and communication skills across technical and non-technical teams, strong business acumen, and the ability to align data products with strategic goals.</p>\n<p>Experience with Agile/Scrum methodologies and working in cross-functional teams is also required, as well as the ability to translate data insights into compelling stories and recommendations.</p>\n<p>Preferred qualifications include experience working in a fast-paced, data-driven product environment, a background in analytics, data science, or software development, and Product 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and develop technical champions along the way.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.</li>\n</ul>\n<ul>\n<li>Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.</li>\n</ul>\n<ul>\n<li>Validate integrations with cloud services, home grown tools, and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.</li>\n</ul>\n<ul>\n<li>Experience building distributed data systems.</li>\n</ul>\n<ul>\n<li>Comfortable programming in, and debugging, Python and SQL.</li>\n</ul>\n<ul>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)</li>\n</ul>\n<p>Available to travel to customers in your region.</p>\n<p>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</p>\n<p>Nice to have: Databricks Certification.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8ba165a2-46e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/6679259002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000-$214,000 CAD","x-skills-required":["data engineering","data science","technical architecture","pre-sales/consulting","distributed data systems","Python","SQL","public cloud providers","AWS","Azure","GCP","Data Engineering technologies","Data Science and Machine Learning technologies"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:34.234Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ottawa, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data science, technical architecture, pre-sales/consulting, distributed data systems, Python, SQL, public cloud providers, AWS, Azure, GCP, Data Engineering technologies, Data Science and Machine Learning technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":214000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba633e71-68b"},"title":"Senior Solutions Architect","description":"<p><strong>About the Role</strong></p>\n<p>At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data &amp; AI platform on Greenfield accounts.</p>\n<p>You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful.</p>\n<p><strong>The Impact You Will Have</strong></p>\n<p><strong>Technical Strategy &amp; Leadership</strong></p>\n<p>Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data &amp; AI practitioners, business domains and all the way up to C-level.</p>\n<p><strong>Executive Advisory</strong></p>\n<p>Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment.</p>\n<p><strong>Raise the Bar</strong></p>\n<p>Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.</p>\n<p><strong>Drive Adoption</strong></p>\n<p>Move beyond &quot;proof of concept&quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.</p>\n<p><strong>Mentorship</strong></p>\n<p>Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity.</p>\n<p><strong>What We Look For</strong></p>\n<p><em>Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.</em></p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in technical and client-facing roles.</li>\n<li>Deep expertise across the data landscape,including Data Engineering, Data Warehousing, and GenAI,with a strong &quot;AI-Builder&quot; mindset.</li>\n<li>Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals.</li>\n<li>Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.</li>\n<li>Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available.</li>\n<li>Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves.</li>\n<li>Language &amp; Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ba633e71-68b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8509683002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Engineering","Data Warehousing","GenAI","Technical Strategy","Leadership","Executive Advisory","Mentorship"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:25.926Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Denmark; Stockholm, Sweden"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Engineering, Data Warehousing, GenAI, Technical Strategy, Leadership, Executive Advisory, Mentorship"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90fd490a-1bf"},"title":"Manager, Field Engineering France  - Specialist Solutions Architects","description":"<p>The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning.</p>\n<p>You will guide and get involved to enhance your team&#39;s effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.</p>\n<p>The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. 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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to&#39;s and productionalizing customer use cases</li>\n<li>Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications</li>\n<li>Consult on architecture and design; bootstrap or implement customer projects which leads to a customers&#39; successful understanding, evaluation and adoption of Databricks</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>Extensive experience in data engineering, data platforms &amp; analytics</li>\n<li>Comfortable writing code in either Python or Scala</li>\n<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>\n<li>Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals</li>\n<li>Familiarity with CI/CD for production deployments</li>\n<li>Working knowledge of MLOps</li>\n<li>Design and deployment of performant end-to-end data architectures</li>\n<li>Experience with technical project delivery - managing scope and timelines</li>\n<li>Documentation and white-boarding skills</li>\n<li>Experience working with clients and managing conflicts</li>\n<li>Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects</li>\n<li>Travel to customers 10% of the time</li>\n</ul>\n<p>About Databricks:</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a8f02572-a83","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8462016002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data engineering","data platforms & analytics","Python","Scala","Cloud ecosystems (AWS, Azure, GCP)","Apache Spark","CI/CD for production deployments","MLOps","performant end-to-end data architectures","technical project delivery","documentation and white-boarding skills","client management"],"x-skills-preferred":["Databricks Certification"],"datePosted":"2026-04-24T12:11:38.006Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, Netherlands"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data engineering, data platforms & analytics, Python, Scala, Cloud ecosystems (AWS, Azure, GCP), Apache Spark, CI/CD for production deployments, MLOps, performant end-to-end data architectures, technical project delivery, documentation and white-boarding skills, client management, Databricks Certification"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_734098cf-a03"},"title":"Sr. Manager, Field Engineering - Public Sector (SLED)","description":"<p>Job Title: Sr. Manager, Field Engineering - Public Sector (SLED)</p>\n<p>Reporting to a Director of Field Engineering, the Sr. Manager will help lead a team of SAs for the SLED segment of Databricks&#39; Public Sector Field Engineering team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.</p>\n<p>Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. 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