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Partner with sales to design and implement Databricks-based big data architectures for named accounts. Consult on data engineering, data science, ML, and SQL workflows; build proofs-of-concept; validate integrations with cloud services and third-party tools; collaborate with product and solutions teams; promote and recruit contributors for Databricks open-source projects. Travel to customer sites in your region as needed.

Act as the field product manager for high-value AI engagements: partner with Sales to scope C-suite problems, define MVPs and PRDs, prioritize engineering backlogs, run agile delivery, lead launch and adoption, and hand off ongoing operations while proving ROI.

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.

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.

The role involves leading Reliability initiatives at Databricks, managing cross-company programs, and influencing technical decisions in cloud infrastructure.

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.

Lead the Reliability strategy and execution for cross-company programs at Databricks, enhancing the performance of multi-cloud infrastructure and ensuring operational excellence.

As a Staff Fullstack Engineer, you'll lead efforts in creating user-friendly data applications, working extensively with JavaScript and modern frameworks while focusing on scalable product design and development.

The Senior Manager of IAM will define strategy, manage teams, lead architecture, ensure compliance, and partner cross-functionally to enhance identity services in a secure environment.