About the company
Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter. The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows.
Responsibilities
- Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views
- Turn ambiguous, large-scale technical challenges into clear execution plans
- Bridge the gap between research and production
- Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization
- Shape product direction alongside engineering and product leadership
- Drive complex, multi-team technical initiatives
Requirements
- 10+ years of experience building, operating, and evolving large-scale distributed systems in production
- Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering
- Track record of executing against a multi-year technical vision
- Strong algorithmic foundations
- Experience building alignment across teams
- BS, MS, or PhD in Computer Science or a related field
Conditions
- Local Pay Range: $228,600 - $314,250 USD
- Total compensation package may include annual performance bonus, equity, and benefits