Sr. Staff Software Engineer — Observability, Insights & Governance
Databricks5 months ago
Base Salary
$217k - $299k/yr
Responsibilities
- Establish long-term technical direction and multi-year architecture across query observability, warehouse management, and account-level governance.
- Design and lead projects improving customer performance, reliability, and cost transparency.
- Build extensible agentic observability and governance experiences for investigating, diagnosing, and acting on telemetry.
- Partner with Databricks SQL, Unity Catalog, AI, security, and platform teams to integrate visibility and governance across data and control planes.
- Mentor senior engineers, set technical standards, and recruit talent.
- Champion reliable, high-quality software and operational practices for customer-facing product surfaces.
Requirements
- 12+ years building and operating large-scale distributed systems, observability or governance platforms, databases, or backend infrastructure.
- Proven technical leadership in complex, multi-stakeholder environments, including long-term architecture and incremental customer delivery.
- Deep computer science fundamentals in algorithms, data structures, and systems design applied to high-throughput systems.
- Experience with observability and telemetry pipelines, query engines and analytics, distributed tracing and metrics, time-series storage, data governance, or large-scale logging systems.
- Strong cross-functional communication skills for aligning engineering, product, and infrastructure partners.
- BS in Computer Science or equivalent practical experience; MS or PhD is a plus.
- Experience building agentic experiences using LLMs is a bonus.
Benefits
- Comprehensive benefits and perks, with region-specific details available from Databricks.
Tech Stack
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.