Senior Staff Software Engineer - Unity Catalog Runtime Enforcement

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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. 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.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminates silos, simplifies governance and accelerates insights  are looking for a Senior Staff Software Engineer to lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics.

• Lead and grow an engineering team delivering runtime enforcement outcomes in a high‑severity, cross‑org domain; establish scope, SLAs, and phased roadmaps.
• Establish single‑source‑of‑truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi‑year, multi‑team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

• 15+ years industry experience building and supporting large‑scale distributed systems.
• Comfortable working towards a multi‑year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross‑org leadership in ambiguous, incident‑heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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.

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At Databricks, we…