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You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.</p>\n<p><strong>The Impact You Will Have</strong></p>\n<ul>\n<li>Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth</li>\n<li>Lead complex architecture discussions , designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics</li>\n<li>Serve as a trusted technical advisor to customer architects, engineering leads, and Directors</li>\n<li>Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions</li>\n<li>Develop and declare an emerging technical specialization (archetype) , becoming a go-to resource for your team in that domain</li>\n<li>Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs</li>\n<li>Influence product direction by providing structured feedback on customer requirements and competitive gaps</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role</li>\n<li>Strong coding proficiency in Python and SQL , you must demonstrate live coding, debugging, and solution-building skills</li>\n<li>Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms</li>\n<li>Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)</li>\n<li>Proven ability to lead architecture discussions with senior technical stakeholders , whiteboarding, design reviews, and trade-off analysis</li>\n<li>Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations</li>\n<li>Track record of driving platform adoption and consumption growth within accounts</li>\n<li>Excellent communication skills , able to translate complex architectures into business value for both technical and executive audiences</li>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Databricks certifications (Data Engineer, ML, Platform)</li>\n<li>Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) , understanding the landscape you&#39;ll position against</li>\n<li>Background in a data/AI company or cloud provider</li>\n<li>Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)</li>\n</ul>\n<p><strong>Pay Range Transparency</strong></p>\n<p>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. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Local Pay Range $180,000-$247,500 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/databricks/jobs/8615016002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8615016002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$247,500 USD","x-skills-required":["Python","SQL","distributed data systems architecture","Databricks Platform","cloud-native data platforms","data engineering","ML/AI","real-time analytics"],"x-skills-preferred":["Databricks certifications","competitive platforms (Snowflake, AWS native services, Azure Synapse)","industry domain expertise"],"x-benefits":["bonus","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-06T20:02:40.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Central - United States; Northeast - United States; Remote - New York; Southeast - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, distributed data systems architecture, Databricks Platform, cloud-native data platforms, data engineering, ML/AI, real-time analytics, Databricks certifications, competitive platforms (Snowflake, AWS native services, Azure Synapse), industry domain expertise","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":247500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_86b70221-4aa"},"title":"Lead Technical Program Manager, Professional Services - Retail","description":"<p>At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone.</p>\n<p>As a Lead Technical Program Manager at Databricks, you will be a key driver in our Professional Services team&#39;s mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our Retail customer base.</p>\n<p><strong>The Impact You Will Have</strong></p>\n<ul>\n<li>Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.</li>\n<li>Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.</li>\n<li>Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.</li>\n<li>Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.</li>\n<li>Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.</li>\n<li>Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.</li>\n<li>Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.</li>\n</ul>\n<p><strong>What We Look For</strong></p>\n<ul>\n<li>Technical Acumen &amp; Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.</li>\n<li>Program &amp; Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. 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As Databricks continues to scale, protecting its usage-based revenue engine requires dedicated oversight at the intersection of product metering, billing systems, and strategic partner relationships.</p>\n<p>In this role, you will lead the core execution of usage remediation, partner reporting workstreams, and root cause analysis,bridging the gap between raw product metering data and financial ground truth.</p>\n<p><strong>Primary Responsibilities</strong></p>\n<ul>\n<li>Remediation &amp; Root Cause Analysis (RCA): Execute the categorization and resolution of various SLA and usage issues impacting customers and financial accuracy, lead mandatory cross-functional RCAs with Engineering to address finance-impacting issues, ensuring policy and execution align to compliance guardrails at scale.</li>\n<li>Metrics, Reporting &amp; Financial Reserves: Maintain necessary metrics, reporting, and data assets to inform leadership decision-making, influence project prioritization to resolve recurring issues, and inform financial reserves or adjustments to revenue recognition processes.</li>\n<li>Partnership Governance &amp; Outbound Reporting: Catalog and maintain a deep understanding of key partnership terms, create and preserve standard operating procedures (SOPs), oversee the execution of outbound reporting workstreams by staff, and sign off to own operational outcome results.</li>\n<li>Cross-Functional Collaboration: Partner closely with Engineering and business stakeholders to turn usage insights into operational improvements and ensure compliance with partnership arrangements.</li>\n</ul>\n<p><strong>Minimum Qualifications</strong></p>\n<ul>\n<li>Education: Bachelor’s degree in Accounting, Finance, Business, or a related technical field.</li>\n<li>Professional Experience: 10+ years of relevant experience, with extensive expertise in business partnering, influencing cross-functional stakeholders, and consumption-based revenue recognition/accounting.</li>\n<li>Technical Acumen: Experience writing SQL and past experience using Databricks strongly preferred.</li>\n<li>Operational Expertise: Proven capability in managing operational workflows, establishing SOPs, and running root-cause analyses within complex systems.</li>\n</ul>\n<p><strong>Pay Range Transparency</strong> Databricks is committed to fair and equitable compensation practices. 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Liaise directly with Internal Audit regarding control environments.</li>\n<li>Cloud Partner Reconciliations: Oversee the end-to-end reconciliation of internal platform usage against usage submitted by cloud platform partners (GCP, AWS, Azure). Analyze all reconciling items between internal and external usage, resolve discrepancies stemming from errors/bugs, identify revenue recognition impacts in consultation with accounting, and establish standardized governance processes.</li>\n<li>SOX &amp; Engineering Process Execution: Execute processes in close collaboration with Engineering to ensure all usage-related, financially impacting workflows are accurate, complete, SOX-ready, and fully validated prior to customer billing and revenue conversion.</li>\n<li>Metering Data Set Management: Manage the paid usage metering dataset to ensure the revenue yield for every unit of consumption remains precise, maintaining a reliable internal source of truth for Finance, FP&amp;A, and business stakeholders.</li>\n</ul>\n<p><strong>Minimum Qualifications</strong></p>\n<ul>\n<li>Education: Bachelor’s degree in Accounting, Finance, Business, Data Science, or a related technical field.</li>\n<li>Professional Experience: 10+ years of relevant experience in revenue operations, financial compliance, IT audit, or SOX control frameworks.</li>\n<li>Technical Acumen: Expert proficiency in SQL; hands-on experience with Databricks strongly preferred.</li>\n<li>Domain Knowledge: Deep familiarity with audit ownership, consumption based SAAS, and cloud marketplace billing architectures.</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 salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Zone 1 Pay Range: $198,700-$273,250 USD Zone 2 Pay Range: $178,900-$245,950 USD Zone 3 Pay Range: $168,900-$232,200 USD Zone 4 Pay Range: $159,000-$218,550 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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/databricks/jobs/8756136002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8756136002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Zone 1 Pay Range: $198,700-$273,250 USD\nZone 2 Pay Range: $178,900-$245,950 USD\nZone 3 Pay Range: $168,900-$232,200 USD\nZone 4 Pay Range: $159,000-$218,550 USD","x-skills-required":["SQL","Databricks","SOX control frameworks","revenue operations","financial compliance","IT 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leads to a customers&#39; successful understanding, evaluation and adoption of Databricks</li>\n<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices</li>\n<li>Collaborate with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer&#39;s needs</li>\n<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues</li>\n<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact</li>\n<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years experience in data engineering, data platforms &amp; analytics, or software engineering</li>\n<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</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, ML/AI models and AI APIs</li>\n<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces</li>\n<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions</li>\n<li>Documentation and white-boarding 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href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/databricks/jobs/8569461002","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/8569461002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,300-$201,125 USD","x-skills-required":["Enterprise SaaS sales experience","Data platforms","Operational databases","Cloud-native services","Microservices","Event-driven systems","AI and analytics strategies","Technical stakeholders","Business stakeholders","Value selling skills","Communication skills","Storytelling skills","Negotiation skills"],"x-skills-preferred":["Postgres","OLTP workloads","Transactional cloud database services","Lakehouse architectures","Cloud ecosystems","Reverse ETL","Real-time decisioning","Operational 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As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.</p>\n<p>This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers&#39; stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. 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The impact you will have:</p>\n<ul>\n<li>Engage with Solutions Architects to understand the full use case demand plan for prioritized customers</li>\n<li>Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts</li>\n<li>Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks</li>\n<li>Be the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations</li>\n<li>Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise</li>\n<li>Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals</li>\n<li>Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs</li>\n<li>Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:</li>\n</ul>\n<p>+ Main use cases moving from ‘win’ to production \t+ Enablement / user growth plan \t+ Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) \t+ Organic needs for current investment (e.g. cloud cost control, tuning &amp; optimization) \t+ Executive and operational governance \t+ Provide internal and external updates \t+ KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/databricks/jobs/8549046002","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/8549046002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$247,500 USD","x-skills-required":["Python","SQL","Scala","Data and AI","Solution architecture","Distributed data systems","Business value and outcomes","Technical program management","Account management","Stakeholder management"],"x-skills-preferred":[],"x-benefits":["bonus","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-05-15T20:12:16.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Central - United States; West Coast - United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Scala, Data and AI, Solution architecture, Distributed data systems, Business value and outcomes, Technical program management, Account management, Stakeholder management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":247500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a28e2377-728"},"title":"Lead Engagement Manager, Healthcare & Life Sciences","description":"<p>We are seeking a Lead Engagement Manager to deliver measurable impact for our Healthcare &amp; Life Sciences customers. As a Lead Engagement Manager, you will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals.</li>\n<li>Navigate complex regional, regulatory, or market-specific complexities across multiple countries.</li>\n<li>Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.</li>\n<li>Shape account strategy to align with client goals and lead the sales of complex Professional Services &amp; Training (PS&amp;T) offerings.</li>\n<li>Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>10+ years of leadership experience in Professional Services.</li>\n<li>Expert-level understanding of PS&amp;T offerings and the ability to customize solutions for complex environments.</li>\n<li>Proficient thought leadership, increasingly viewed as an external expert in the industry.</li>\n<li>Ability to travel up to 25-50% as required.</li>\n</ul>\n<p>Pay Range Transparency</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.</p>\n<ul>\n<li>Zone 1 Pay Range: $178,800-$245,850 USD</li>\n<li>Zone 2 Pay Range: $161,000-$221,300 USD</li>\n<li>Zone 3 Pay Range: $152,000-$209,000 USD</li>\n<li>Zone 4 Pay Range: $143,000-$196,700 USD</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/databricks/jobs/8438803002","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/8438803002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$178,800-$245,850 USD","x-skills-required":["Leadership experience in Professional Services","Expert-level understanding of PS&T offerings","Thought leadership in the industry","Ability to travel up to 25-50%","Databricks architecture, ecosystem, and strategic account planning"],"x-skills-preferred":[],"x-benefits":[],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-04-16T20:26:46.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Central - United States; Northeast - United States; Southeast - United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Leadership experience in Professional Services, Expert-level understanding of PS&T offerings, Thought leadership in the industry, Ability to travel up to 25-50%, Databricks architecture, ecosystem, and strategic account planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":178800,"maxValue":245850,"unitText":"YEAR"}}}]}