Senior Staff Software Engineer - Lakeflow Pipelines Datasets

Databricks · Mountain View, California; San Francisco, California · Executive Engineering - Pipeline · listed April 2, 2026

The shape of it

Seniority
Staff
Experience asked
10+ years
Where
Not stated
Stated pay
$228,600 – $314,250 USD
Requirements listed
5
Length
775 words

In the posting’s own words

We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure:

What it asks for · 5

  • 10+ years of experience building, operating, and evolving large-scale distributed systems in production.
  • Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering.
  • Track record of executing against a multi-year technical vision through well-sequenced incremental milestones.
  • Experience building alignment across teams and driving initiatives from conception through customer adoption.
  • BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience).

Degree language

  • BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience).

Tools and skills named

Data
  • Databricks
  • ETL
Cloud & infra
  • Distributed systems

Words the posting leans on

  • systems8×
  • technical8×
  • data7×
  • customer5×
  • engineering5×
  • declarative4×
  • platform4×
  • processing4×
  • production4×
  • design3×
  • distributed3×
  • pipelines3×
  • product3×
  • architect2×
  • build2×
  • clear2×

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 24, 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.