The role at Databricks involves designing and implementing next-generation systems that enhance query performance and support diverse workloads. The team focuses on areas such as query compilation, distributed execution, and efficient storage structures. Candidates will work towards a multi-year vision with incremental deliverables, contributing to a unified platform that simplifies the data lifecycle. The position emphasizes delivering customer value and impact through innovative solutions.

• 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
• 8+ years of experience working in a related system is preferred
• Optional: PhD in databases or distributed systems

• Design and implement query compilation and optimization techniques
• Develop distributed query execution and scheduling methods
• Create a vectorized execution engine for improved performance
• Ensure data security within the systems
• Manage resources effectively for optimal performance
• Coordinate transactions to maintain data integrity
• Develop efficient storage structures including encodings and indexes
• Implement automatic physical data optimization strategies