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60 Databricks Engineering Manager Jobs Hiring in CA

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What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What are the most popular jobs at Databricks in California?
Infographic showing various Engineering Manager job openings at Databricks in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Engineering Manager - Databricks SQL Control Plane

Databricks

Mountain View, CA

Other

Re-posted 10 days ago

Job description

RDQ326R233

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Databricks SQL (DBSQL) is a serverless data warehouse on the Databricks Lakehouse Platform that lets you run all your SQL and BI applications at scale. The Databricks SQL Control Plane team builds scalable solutions for managing the multi-tenanted DB SQL service. This team creates and maintains services that allow customers to create a data warehouse, scale it within seconds, and run mission critical workloads at scale. The team is seeking an Engineering Manager to spearhead the development of a new service and architecture for the next generation of our product.

The key responsibilities include:

  • Leading a team of talented 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

What we look for:

  • 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

Preferred

  • Experience working Rust

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