Sr. Engineering Manager - Developer Ecosystem

RDQ427R369 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Our Developer Ecosystem organisation shapes how developers and the AI agents working for them build on the Databricks Data and AI Platform, from within the product to the tools they already use. We are hiring an Engineering Manager to lead our declarative deployment framework, which turns data and AI projects into versioned, reviewable, repeatable software. It is one product with two entry points. Third-party developers use our open-source CLI from their IDEs, terminals, and CI/CD systems. First-party, they author, deploy and inspect the same projects inside the Databricks workspace. In both, AI agents increasingly do the work: coding agents drive the CLI, and our in-product AI assistant authors and deploys projects alongside the developer. Thousands of organisations run their CI/CD on it, and it is one of the fastest-growing parts of the platform. The team owns the deployment engine and CLI, the in-workspace authoring and deployment experience, and the metadata service and deployment history that record every deployment. The hard problems are real infrastructure-as-code problems: reconciling declared and live state, making plans safe for humans and agents to approve, keeping visual authoring and code in sync, and shipping weekly releases that remain backwards-compatible for our largest customers. The impact you will have: ・Lead and grow the team: Manage a team of senior engineers across three closely connected areas (the deployment