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Build next generation distributed data storage and processing systems, including projects like Apache Spark and Delta Lake, while focusing on customer value and handling complex data engineering pipelines.

As a Staff Software Engineer, you will build distributed data systems, focusing on reliability and performance for large-scale data processing, using technologies like Apache Spark™ and Delta Lake.

As a Staff Software Engineer focusing on backend development, you will design, implement, and operate micro-services for Databricks' platform, utilizing technologies like Scala/Java and cloud services.

The role involves building and maintaining scalable backend solutions and infrastructure for the Databricks platform, focusing on resource management and cloud services.

Evaluate performance of products, identify bottlenecks, set performance targets, and work with customers to mitigate issues during production.

The Research Scientist will advance AI techniques, collaborate on model training, and ensure practical applications of cutting-edge LLMs in a team environment.

As a Performance Engineer, you will evaluate performance bottlenecks, set performance targets, and fix scalability issues across Databricks products.

Develop observability solutions for Databricks' products. Collaborate with teams to measure system performance, build tooling, and debug issues.

The IT Solutions Tech Lead will architect AI-enabled solutions, develop full-stack applications, mentor peers, and collaborate across teams at Databricks.

Coordinate product activities from vision to implementation, understand customer needs, develop strategy, and ensure product success through cross-functional collaboration.