Databricks
Enterprise SaaSDirect Greenhouse career site

Senior Staff Software Engineer - Lakeflow Pipelines Datasets

Pay
$228,600 – $314,250 per year
Location
Mountain View, CA
Job type
Full-time
Level
Executive
Experience
10+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • distributed systems
  • database internals
  • streaming systems

Also useful

  • Apache Spark
  • Structured Streaming

Stated benefits & perks

  • Bonus
  • Equity

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Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter.

The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do.

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:

  • Declarative Dataflow Processing
  • Resource management
  • Efficient storage structures
  • Stream Processing and Complex Event Processing
  • Autonomic Computing and Self-Managing Systems

The Impact you will have

  • Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers.
  • Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale.
  • Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems.
  • Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency.
  • Shape product direction alongside engineering and product leadership, owning technical strategy from design through delivery.
  • Drive complex, multi-team technical initiatives that require sustained coordination and clear technical judgment.

What We're Looking For

  • 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.
  • Strong algorithmic foundations with the practical judgment to know when they matter and when simpler solutions win.
  • A bias toward customer impact over technical novelty for its own sake.
  • 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).

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.

Local Pay Range $228,600—$314,250 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Read the original posting

From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Senior Staff Software Engineer - Lakeflow Pipelines Datasets role at Databricks?

The Senior Staff Software Engineer - Lakeflow Pipelines Datasets posting at Databricks states compensation of $228,600 – $314,250 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.

Where is the Senior Staff Software Engineer - Lakeflow Pipelines Datasets job at Databricks located?

This Senior Staff Software Engineer - Lakeflow Pipelines Datasets position at Databricks is located in Mountain View, CA. Always check Databricks's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Staff Software Engineer - Lakeflow Pipelines Datasets at Databricks?

For the Senior Staff Software Engineer - Lakeflow Pipelines Datasets role, Databricks highlights 10+ years of relevant experience; a bachelor's degree; experience with distributed systems, database internals, streaming systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Staff Software Engineer - Lakeflow Pipelines Datasets position at Databricks?

This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.