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As a Senior Software Engineer on the Runtime team at Databricks, you will build the next generation of distributed data storage and processing systems, focusing on enhancing performance and efficiency in various data-related tasks. Key projects include Apache Spark and Delta Lake, aimed at advancing big data operations.

Lead the development of a new product line within the lakehouse ecosystem, aligning product vision with company goals. Conduct market research to understand customer needs, translate those needs into product specifications, and collaborate with cross-functional teams for product launches. Monitor product performance and user feedback to inform strategic improvements and maintain stakeholder engagement.

As a Senior Technical Solutions Engineer, you will troubleshoot and resolve complex issues related to the Databricks platform, support customers with best practices, improve performance in specific environments, and coordinate with engineering teams. You will also contribute to documentation and participate in on-call rotations.

As a Data Scientist, you will work with data to deliver insights for product design and strategy, manage your own project from gathering requirements to presenting insights and deploying algorithms to the Databricks platform.

As a Staff Software Engineer focusing on backend development at Databricks, you will design, implement, test, and operate micro-services. The role involves working with Scala or Java, building data pipelines, integrating with third-party applications, and interacting with cloud APIs.

As a Senior Software Engineer focused on backend, you will develop infrastructure and products at scale for the Databricks platform. Projects include building a serverless platform, core cloud technologies, enhancing partner integrations, and improving developer experiences across various teams.

As a Staff Software Engineer at Databricks, you will build next generation distributed data storage and processing systems, work on high performance data management solutions such as Delta Lake, and enhance query optimization and execution for diverse workloads.