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Sr. Manager, Field Engineering

Databricks San Francisco, California Full-time Field Engineering - FE Direct Enterprise Posted Jul 7, 2026
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What it’s like to work at Databricks

Data & AI Platform · San Francisco

4.1
Employee Rating
3.9
Work-Life Balance
786
Open Roles
eng-drivenlearningequitydiverseproduct-impact

What employees love

  • Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
  • Strong compensation and equity packages consistently above market

What could be better

  • Hypergrowth means org changes are constant — teams restructure frequently
  • Some legacy Spark-era tech debt that can slow down new features
View full Databricks culture profile →

About the Role

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[OPTIONAL REMOTE STATEMENT, remove if not applicable] While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

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The impact you will have:

Describes what a person needs to accomplish in a role. Make sure it is objective and observable. ie: A year or two from now what will a job well-done look like? 3-8 bullets is usually enough, these should be fairly measurable - nothing too subjective.

What we look for:

3-8 bullets that describe what a person will have from their experience that will allow them to get to those outcomes listed above and that describe cultural or team competencies. Skills are important but so is team fit. Exclude “nice-to-haves” or “optional”.

About Databricks

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 Twitter, LinkedIn and Facebook.

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 click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

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.

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Frequently Asked Questions

What is the work-life balance like at Databricks?
Databricks has a work-life balance score of 3.9/5 based on employee reviews. This is about average for the AI/tech industry.
What is Databricks’s culture like?
Databricks is characterized by these culture values: eng-driven, learning, equity, diverse, product-impact. Based on employee reviews, the company has an overall rating of 4.1/5. Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
How many open roles does Databricks have?
Databricks currently has 786 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in San Francisco, California. Check the job description above for specific location and remote work details.
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