Senior Staff Software Engineer - Unity Catalog Runtime Enforcement

<p data-pm-slice="1 1 []">RDQ127R176</p> <p data-renderer-start-pos="1648">At Databricks, we are passionate about <span id="ef38f88f0bfe2e7aa42b1bba8318c812" class="editor-module-hl-blue-solid">enabling data teams to solve</span> 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 <span id="191e3b79e7e7b242db0a78385bd26bd2" class="editor-module-hl-yellow-solid">tackle</span> technical challenges, from designing next-gen UI/UX for <span id="440818e05298ba05f20707990a9f034b" class="editor-module-hl-blue-solid">interfacing</span> with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.</p> <p data-renderer-start-pos="1800">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.</p> <p>Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech 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. </p> <p data-renderer-start-pos="2006"><strong data-renderer-mark="true">The impact you will have: </strong></p> <ul> <li>Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.</li> <li>Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.</li> <li>Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.</li> <li>Introduce tools to allow greater automation and operability of services.</li> <li>Use your deep experience to help prevent and investigate production issues.</li> <li>Plan and lead complicated technical projects that work with several teams within the company.</li> <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> </ul> <p data-renderer-start-pos="2367"><strong data-renderer-mark="true">What we look for:</strong></p> <ul> <li>15+ years industry experience building and supporting large-scale distributed systems.</li> <li>Comfortable working towards a multi-year vision with incremental deliverables.</li> <li>Extensive experience building and maintaining distributed systems.</li> <li>Security first mindset.</li> <li>Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.</li> <li>Motivated by delivering customer value and impact.</li> <li>Experience driving company initiatives towards customer satisfaction.</li> <li>BS/MS/PhD in Computer Science or related majors, or equivalent experience.</li> <li> </li> </ul><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 5 ... (truncated, view full listing at source)