About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Responsibilities
- 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.
Requirements
- 12+ 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.
- Strong cross-functional communication skills — able to align engineering, product, and infrastructure partners across multiple teams on technical strategy and trade-offs.
- BS in Computer Science or equivalent practical experience (MS/PhD a plus).
- Bonus: experience building agentic experiences using LLMs.
Conditions
- Pay range: $228,600 — $314,250 USD (Zone 1).
- Total compensation may include annual performance bonus, equity, and benefits.