Databricks is seeking a Senior Staff Software Engineer to join their Lakeflow Engineering team, specifically leading the Materialized Views engineering team. This role is part of one of the world's largest data engineering platforms, processing exabytes of data daily for thousands of customers. The position focuses on building next-generation Materialized View features for both ETL workloads and query acceleration.
The role involves working with cutting-edge systems in areas such as incremental materialized view maintenance, query optimization, resource management, efficient storage structures, and automatic physical data optimization. As a technical leader, you'll be responsible for designing and implementing systems that advance the state-of-the-art in data processing.
Databricks processes exabytes of data daily and serves tens of thousands of customers, making this an opportunity to work at significant scale. The company is passionate about enabling data teams to solve the world's toughest problems, from advancing transportation to accelerating medical breakthroughs.
The position offers a competitive salary range of $235,000 to $295,000 USD, along with comprehensive benefits. This is a unique opportunity to join a company that's at the forefront of data and AI technology, working with the original creators of Apache Spark™, Delta Lake, and MLflow.
The role requires deep technical expertise, leadership skills, and the ability to drive complex projects across multiple teams. You'll be working in a collaborative environment where you can make a significant impact on the company's core products while solving real business needs at scale.