Engineering Manager - Databricks SQL Control Plane
Posted by employer 7 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 18 hours ago
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
The Engineering Manager for Databricks SQL Control Plane leads a team focused on developing a cloud-native data warehousing system, ensuring high availability and low latency for mission-critical workloads. This role requires expertise in building scalable cloud services, particularly on platforms like AWS, GCP, or Azure, along with a strong background in database systems. Ideal candidates will have over five years of experience and a proven track record in team management and technical leadership. The position emphasizes collaboration across functions and fostering a culture of excellence within the team.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.
- Salary band is above the typical range for Management roles (median ~$170,000).
- Starts above 29% of 28 comparable lead management roles in United States that list AWS we track (median $200,000 across 18 companies). See AWS salary trends
- AWS appears in 5.9% of 612 comparable lead management roles in United States; Azure appears in 2.5% of 612 comparable lead management roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $190,000–$261,250 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Engineering Manager - Databricks SQL Control Plane role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Cloud, GCP, Rust.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager - Databricks SQL Control Plane role at Databricks.
From the original posting
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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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.