Sr. Staff Software Engineer — Observability, Insights & GovernanceActive$229K

Databricks
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The opportunity

At Databricks, observability and governance are what turn a massive, multi-tenant data and AI platform into one customers can trust at scale. We are looking for a senior technical leader to drive strategy and execution across three closely related teams at the heart of that…

What you'll do

  • Establish the long-term technical direction across query observability,: warehouse management, and account-level governance, and own the multi-year architecture all three surfaces are built on.

  • Design and lead high-impact projects that move the needle on performance,: reliability, and cost transparency for customers.

  • Build the next generation of agentic observability and governance: extensible experiences that let users and automated agents investigate, diagnose, and act on telemetry across query, warehouse, and account.

  • Partner deeply with Databricks SQL, Unity Catalog, AI, security, and platform: teams to integrate end-to-end visibility and governance across the data plane and control plane.

  • Mentor senior engineers, set the technical standards across the group, and: recruit top talent into observability, insights, and governance.

  • Champion reliable, high-quality software and the operational practices that: let a focused team confidently support product surfaces used by tens of thousands of customers.

What they're looking for

  • + years building and operating large-scale distributed systems, observability: or governance platforms, databases, or backend infrastructure.
  • A proven track record as a technical leader on teams operating in complex,: multi-stakeholder environments — driving long-term architecture while still delivering incremental customer impact.
  • Deep computer science fundamentals (algorithms, data structures, systems: design) applied to real-world, high-throughput problems.
  • Experience with one or more of: observability and telemetry pipelines, query engines and query analytics, distributed tracing and metrics, time-series storage, data governance, or large-scale logging systems.