Sr. Manager, Field Engineering
Databricks · San Francisco, California · 2026-07-07
About this 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.
[No header needed. The mission is an executive summary of the job's core purpose and overall function in the company. This should be written in plain language.]
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.
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Outcome 4
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Outcome 6
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”.
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Competency 1
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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…
Skills asked for
- databricks
- spark
- excel
- data science
- machine learning
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