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 distributed systems technology, focusing on 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.
At Databricks, you'll be part of a team that enables data teams to solve the world's toughest problems, from revolutionizing transportation to accelerating medical breakthroughs. The company runs one of the world's largest data engineering platforms, processing massive amounts of data for their extensive customer base.
The position offers a competitive salary range of $220,000 to $280,000 USD, along with comprehensive benefits. This is an opportunity to work on large-scale systems that have real-world impact, leading complex technical projects and collaborating with multiple teams across the organization.
The ideal candidate will bring 15+ years of industry experience in building and supporting large-scale distributed systems, with a strong foundation in algorithms and data structures. You should be passionate about database systems, storage systems, distributed systems, or performance optimization, and have experience driving multi-year technical visions with incremental deliverables.
Join Databricks to be part of a company that's at the forefront of data and AI technology, working with a team that's passionate about solving complex technical challenges at scale.