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Databricks is seeking a Finance Manager to join our FP&A team in Bellevue, WA. You will analyze consumption growth, partner with our GTM team, and influence executive decisions using first principles thinking.
You will build and maintain financial models, collaborate with Sales, Finance, Data Science, and IT, and communicate insights through clear narratives and presentations to senior leadership.
Bellevue, Washington; Mountain View, California; San Francisco, California; Seattle, Washington
GAQ227R124
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
Databricks is looking for an outstanding Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this role, you will have the opportunity to strategically assess consumption growth drivers and partner with our GTM team to drive impact.
As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, and you will approach them with first principles thinking to come up with a solution.
The impact you will have:
What we look for:
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 .
Zone 1 Pay Range
$169,100 — $232,550 USD
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 .
Zone 2 Pay Range
$152,200 — $209,350 USD
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 .
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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Can you describe a complex, driver-based financial model (e.g., forecasting bookings, usage/invoicing, or cash flow) that you built from scratch in Excel or Google Sheets? Please detail the key drivers you incorporated, how you handled large or messy datasets, and how you validated the model's accuracy. *
Tell us about a time you analyzed financial performance against core KPIs and identified a significant risk, opportunity, or variance. How did you translate that data into clear, actionable recommendations for GTM or executive leadership, and what was the outcome? *
In a past role supporting a fast-moving or high-growth business, what manual forecasting or reporting process did you simplify, automate, or scale? What tools or techniques (e.g., SQL, advanced Excel functions, system integrations) did you use, and how did it improve efficiency? *
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