This role at Databricks involves working on the next generation of query engines and structured storage systems aimed at outperforming traditional data warehouses. The team focuses on designing and implementing systems that enhance performance for various workloads, including ETL and data science. Candidates will engage in areas such as query optimization, distributed execution, and efficient storage structures. The position emphasizes delivering customer value and contributing to a multi-year vision.

• A passion for database systems, storage systems, distributed systems, language design, or performance optimization.
• Experience working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• 5+ years of experience working in a related system is preferred.
• Optional: PhD in databases or distributed systems.

• Design and implement next generation query compilation and optimization systems.
• Work on distributed query execution and scheduling.
• Develop a vectorized execution engine.
• Enhance data security measures.
• Manage resources effectively.
• Coordinate transactions.
• Create efficient storage structures including encodings and indexes.
• Implement automatic physical data optimization.