You will help organisations move beyond static dashboards to governed, conversational, AI-powered analytics at the centre of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

Key responsibilities include:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernise analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

Requirements include:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts

Preferred qualifications include:

• Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot
• Familiarity with semantic layers, metrics stores, or governed data models
• Understanding of lakehouse architectures and cloud data platforms
• Exposure to GenAI, natural language interfaces, or conversational applications
• Consulting or solution design experience in customer-facing roles

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As a Senior Software Engineer working on the Data Platform team, you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.

The impact you will have:

• Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.

• Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.

• Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.

• Design the base ETL framework used by all pipelines developed at the company.

• Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.

• Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.

• Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.

• Represent Databricks at academic and industrial conferences & events.

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The impact you will have includes designing and running the Databricks metrics store, cross-company Data Intelligence Platform, and developing tooling and infrastructure to efficiently manage and run Databricks at scale. You will also design the base ETL framework used by all pipelines developed at the company, partner with engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product, and establish conventions and create new APIs for telemetry, debug, feature, and audit event log data.

To be successful in this role, you will need 12+ years of industry experience, 4+ years of experience building large-scale distributed systems, and 5+ years of providing technical leadership on large projects similar to the ones described above. You will also need experience with ETL frameworks, metrics stores, infrastructure management, data security, and experience building, shipping, and operating reliable multi-geo data pipelines at scale.

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