Engineering Manager - Databricks SQL Control Plane
Databricks· Engineering
Mountain View, California$190k - $261.3kfull-timePosted 7mo ago
About the role
Engineering Manager for the Databricks SQL Control Plane team, responsible for spearheading development of a new service and architecture for the next generation of the product, leading a high-performance cloud-native data warehousing system.
Responsibilities
- Leading a team of software engineers to build the next-generation low-latency, multi-tenanted, cloud native data warehousing system
- Growing the team by hiring strong engineering talent
- Leading and participating in technical, product and design discussions relating to cloud native database systems
- Managing and operating a highly available service in the cloud
- Growing leaders on the team by providing coaching, mentorship and growth opportunities
- Playing a key role in defining the product and engineering roadmap for the team
- Partnering with other engineering and product leaders on planning, prioritization and staffing
- Creating a culture of excellence on the team while leading with empathy
Qualifications
- 5+ years experience working in, database systems, data processing or related domains
- Experience building highly available cloud services on AWS, GCP or Azure
- Building, growing and managing high performance teams
- Experience defining and meeting SLOs for highly available systems
- Ability to attract and hire engineers who meet the Databricks hiring standards
- Comfort working cross functionality with product management and partners to build products that drive user growth
Skills
Required:SQLCloud platformsLeadership / People management
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
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