Sr. Manager, Data Engineering

Role overview Lead a data engineering team responsible for secure, reliable handling of organizational data. You will own the Databricks environment and guide the design of data infrastructure, including AI capabilities and AI/BI applications, while partnering with business and product leaders on the data roadmap.

Responsibilities - Manage, coach, and develop data engineers, setting direction and supporting their performance and growth. - Own and operate the end-to-end Databricks environment. - Design and implement scalable data infrastructure for business operations, analytics, and innovation. - Develop and advance Databricks AI capabilities and AI/BI Genie applications. - Work with business and product partners to shape technical priorities and the broader data roadmap. - Ensure data assets are handled securely and efficiently.

Requirements - Strong leadership experience managing and developing a data engineering team. - Deep knowledge of data infrastructure and AI infrastructure. - Ability to set technical direction while maintaining strategic oversight. - Experience with Databricks, including managing a platform environment. - Ability to partner across business and product teams and align solutions with organizational goals.

Benefits and work setup - Full-time remote role, with residency required in one of the listed U.S. states: Florida, Texas, Illinois, New York, New Jersey, Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Georgia, Indiana, Kansas, Massachusetts, Missouri, North Carolina, Tennessee, Utah, or Wisconsin. - The organization describes responsible, secure, and transparent use of AI as part of its working approach.