Sr. Staff Software Engineer — Observability, Insights & Governance
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## 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).
## Nice to Have
- Experience building agentic experiences using LLMs.
## Benefits
- Competitive salary and total compensation package including annual performance bonus, equity, and benefits.
- Opportunities to work with cutting-edge technologies and influence the future of data and AI platforms.
- Collaborative and innovative work environment with a focus on customer impact and technical excellence.
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