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You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field.</p>\n<p>You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>You will be a Big Data Analytics expert on aspects of architecture and design</li>\n<li>Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem</li>\n<li>Support your customers by authoring reference architectures, how-tos, and demo applications</li>\n<li>Integrate Databricks with 3rd-party applications to support customer architectures</li>\n<li>Engage with the technical community by leading workshops, seminars and meet-ups</li>\n</ul>\n<p>Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value</p>\n<p>What we look for:</p>\n<ul>\n<li>Strong consulting / customer facing experience, working with external clients across a variety of industry markets</li>\n<li>Core strength in either data engineering or data science technologies</li>\n<li>8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding</li>\n<li>8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)</li>\n<li>6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others</li>\n<li>Coding experience in Python, R, Java, Apache Spark or Scala</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. 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Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required.</li>\n</ul>\n<ul>\n<li>You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.</li>\n</ul>\n<ul>\n<li>You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work , from drafting and debugging code to synthesizing requirements and generating documentation.</li>\n</ul>\n<ul>\n<li>You&#39;re comfortable evaluating AI-generated outputs critically and iterating quickly.</li>\n</ul>\n<ul>\n<li>You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.</li>\n</ul>\n<ul>\n<li>You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions.</li>\n</ul>\n<ul>\n<li>You have a track record of cross-functional collaboration and strong stakeholder relationships.</li>\n</ul>\n<ul>\n<li>You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors.</li>\n</ul>\n<ul>\n<li>You work through dependencies, bottlenecks, and tradeoffs with ease.</li>\n</ul>\n<ul>\n<li>You have a service-oriented mindset.</li>\n</ul>\n<ul>\n<li>You are curious, creative, and kind.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. 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You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default.</p>\n<p>You&#39;ll work across three key areas that define Databricks&#39; networking stack:</p>\n<p>Ingress Control Plane: Build the control plane for Databricks&#39; global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.</p>\n<p>Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don&#39;t need to worry about underlying connectivity details.</p>\n<p>Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. 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As a key member of our team, you will be responsible for leading a team of Solutions Architects for the Financial Services segment of Databricks&#39; Regulated Industries Field Engineering team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.</li>\n<li>Partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks&#39; Data Intelligence Platform.</li>\n<li>Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks&#39; growth in the market.</li>\n</ul>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.</li>\n<li>Make your customers extremely successful with Databricks and provide outsized value to their businesses.</li>\n<li>Maintain a robust hiring pipeline of highly qualified, bar-raising candidates.</li>\n<li>Establish relationships across the business to make your customers and team successful.</li>\n<li>Keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.</li>\n<li>Ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>Proven experience building and leading technical pre-sales teams.</li>\n<li>10+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI).</li>\n<li>Trusted advisor to technical executives that guide strategic data infrastructure decisions.</li>\n<li>Strong understanding of consumption-driven business models and the recipes for long-term growth and success.</li>\n<li>Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. 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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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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_64cc7147-8b9","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/8341135002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SaaS Support","Cloud Native Applications","Big Data Platforms","Apache Spark","Java","Linux","Networking"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:50.362Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SaaS Support, Cloud Native Applications, Big Data Platforms, Apache Spark, Java, Linux, Networking"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c499703f-c35"},"title":"Hunter Account Executive - China (Singapore Based)","description":"<p>As a Hunter Account Executive, your mission will be to acquire and grow some of our most exciting enterprise customers in Databricks within the Greater China Region.</p>\n<p>You will prospect for new customers, assess your existing customers and develop a strategy to identify and engage all buying centres.</p>\n<p>You will use a solution approach to selling and creating value for customers, identify the most viable use cases in each account to maximise Databricks&#39; 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You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.</p>\n<p>As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.</p>\n<p>At Databricks, we are obsessed with enabling data teams to solve the world&#39;s toughest problems, from security threat detection to cancer drug development. 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At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.</p>\n<p>The Impact you will have:</p>\n<ul>\n<li>Solve real business needs at large scale by applying your software engineering.</li>\n<li>Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers</li>\n<li>Low level systems debugging, performance measurement &amp; optimization on large production clusters.</li>\n<li>Build architecture design, influence product roadmap, and take ownership and responsibility over new projects</li>\n<li>Use your deep experience to help prevent and investigate production issues.</li>\n<li>Plan and lead complicated technical projects that work with several teams within the company.</li>\n<li>A strong influencer or driver in the organization’s roadmap and direction.</li>\n<li>Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.</li>\n<li>Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).</li>\n<li>Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>15+ years industry experience building and supporting large-scale distributed systems.</li>\n<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>\n<li>Motivated by delivering customer value and impact.</li>\n<li>Strong foundation in algorithms and data structures and their real-world use cases.</li>\n<li>Experience driving company initiatives towards customer satisfaction.</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. 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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