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Engineering Manager, Spark Connect

Databricks - Bellevue, Washington

Posted Apr 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$180K-$248K From the posting source
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

84% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source
Seniority
Senior From the posting source

Schedule

Shift type
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Weekend work
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Company

Equity
Offered From the posting source

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Engineering Manager, Spark Connect Bellevue, Washington At Databricks, we are building the world's best data and AI infrastructure platform so our customers can solve the world's toughest problems. Founded by engineers and deeply customer-obsessed, we take on hard technical challenges across the stack - and we're only getting started. The Spark Platform organization builds the core technologies that power Databricks and the Apache Spark ecosystem. Spark Connect is a critical component of Databricks Serverless and a strategic open source investment that shapes the future developer experience of Spark. We are looking for an Engineering Manager to lead the Spark Connect team. This leader will own the Databricks Spark Connect platform, drive reliability and execution for a critical Serverless component, and lead our open source Spark Connect strategy in Apache Spark. This includes owning the OSS roadmap, partnering across teams, and driving adoption of Spark Connect in the open source ecosystem. The impact you will have - Lead the team responsible for Spark Connect, a critical component of Databricks Serverless. - Own platform reliability, scalability, and operational excellence. - Drive Databricks' technical leadership in open source Spark Connect. - Define and execute the strategy for OSS Spark Connect adoption and ecosystem growth. - Partner across product, runtime, serverless, and OSS stakeholders to shape roadmap and architecture. - Hire and grow a strong engineering team with high technical and operational standards. What we look for - 10+ years of experience in distributed systems, infrastructure, or data platforms. - 3+ years of experience

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