databricks

Senior Staff Software Engineer - Lakeflow Pipelines Datasets

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At a Glance

Location
Mountain View, California; San Francisco, California
Experience
10+ years
Posted
2026-04-02T17:46:24-04:00

Key Requirements

Domain Knowledge

  • Engineering

Benefits & Perks

Health Insurance

e strive to provide comprehensive benefits and perks that meet the needs of all of

Requirements

10+ years of experience building, operating, and evolving large-scale distributed systems in production.

Track record of executing against a multi-year technical vision through well-sequenced incremental milestones.

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.

Compensation & Benefits

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

.

$228,600

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on

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