Senior Staff Engineer, Observability & Governance

Databricks; Bellevue (WA); On-site; USD 217,000 - 299,000; Full time

Job summary

Databricks is seeking a senior technical leader to drive strategy across Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance.

You will set durable architectures, raise engineering standards, and mentor engineers while partnering with Databricks SQL, Unity Catalog, AI, security, and platform teams to deliver end-to-end visibility and governance for large data and AI workloads.

Qualifications

• 12+ years building and operating large-scale distributed systems or governance platforms.
• Proven technical leader on multi-stakeholder teams delivering architecture and impact.
• Strong fundamentals in algorithms, data structures, and systems design.
• Experience with observability, telemetry, query engines, or large-scale logging.
• Excellent cross-functional communication across engineering, product, and infra.

Responsibilities

• Set long-term technical direction across query observability, warehouse management, and account-level governance.
• Design high-impact projects for performance, reliability, and cost transparency.
• Build agentic observability and governance experiences for users and automated agents.
• Collaborate with SQL, Unity Catalog, AI, security, and platform teams to unify visibility.

Skills

Distributed systems

Observability

Technical leadership

Cross-functional communication

Algorithms & systems design

BS in Computer Science

LLMs agentic experiences

Education

BS in Computer Science or equivalent

Job description

Databricks is seeking a senior technical leader to drive strategy across Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance.

You will set durable architectures, raise engineering standards, and mentor engineers while partnering with Databricks SQL, Unity Catalog, AI, security, and platform teams to deliver end-to-end visibility and governance for large data and AI workloads.