Engineering Manager - Streaming

Databricks · Bellevue, Washington · Executive Engineering - Pipeline · listed December 5, 2025

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The shape of it

Seniority
Manager
Experience asked
5+ years
Where
Not stated
Stated pay
$181,000 – $253,750 USD
Requirements listed
5
Length
793 words

In the posting’s own words

We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development initiatives, encompassing both open source and Databricks-specific components. Your primary mission will be to make Spark™ Structured Streaming state of the art Stream Processing engine, by adding advanced features such as sophisticated state management, new operators and at the same time making the engine performance both from latency and throughput point of view by reimagining engine architecture.

What it asks for · 5

  • 5+ years experience working in a related system, streaming, query processing, query optimization, including big-data ecosystem, Apache Spark™ or database internal
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product. Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
  • Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of the team and guide their careers. Experience managing distributed teams preferred
  • Comfortable working cross functionally with product management and directly with customers; ability to deeply understand product and customer personas

What the job covers

  • Leading a talented engineering team in Spark™ Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform
  • Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team
  • Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities
  • Build software that is not just high quality but easy to operate.
  • Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio
  • Manage technical debt, including long term technical architecture decisions and balance product roadmap

Tools and skills named

Data
  • Spark7×
  • Databricks6×
Product & design
  • Roadmap2×
  • Product management
Cloud & infra
  • Distributed systems
Ways of working
  • Testing

Words the posting leans on

  • product6×
  • stream processing6×
  • data5×
  • systems5×
  • customers4×
  • engine4×
  • experience4×
  • spark structured4×
  • structured streaming4×
  • build3×
  • building3×
  • database3×
  • distributed3×
  • quality3×
  • state3×
  • talent3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 27, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.