Senior Manager, Finance

GAQ
426R221

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 Senior Manager, Finance 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 a first‑principles thinking approach to come up with a solution.

• Analytically solve problems with the ability to gather and summarize large amounts of data to lead efficient executive decision‑making; lead the end‑to‑end recommendation process.
• Nurture deep, trusted partnerships with Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their respective technical teams.
• Find creative solutions to data challenges and communicate them effectively through easy‑to‑understand narratives and presentations.
• Build and maintain financial and operational models to help us understand real‑time forecasts for key financial metrics.
• Propose and implement solutions to drive key financial metrics in partnership with the GTM team.
• Guide process improvement, standardization, simplification, install proper controls, and reporting enhancements.

• Bachelor's Degree in Business, Finance, IT, or equivalent quantitative field.
• 8+ years or equivalent tenure from related positions in FP&A, corporate finance, accounting, or data analytics teams.
• Team Leadership:
  Demonstrated ability to lead high‑performing teams, balancing depth and breadth in a fast‑moving, dynamic environment.
• Financial Operator:
  Strong operational finance experience, partnering closely with cross‑functional leaders and translating data into actionable, executive‑level narratives.
• Business Partnership:
  Proven ability to drive strong cross‑functional relationships (especially with GTM organizations) to achieve business outcomes.
• Financial Modeling:
  Be able to understand and update financial models that follow industry best practices. Can maintain complex spreadsheets. Expertise in Google Sheets is a plus.
• Data Analysis:
  Experience in understanding business questions and making data‑driven insights. Excellent analytical skills.
• Communication:
  Ability to present financial data using detailed reports, charts, and narratives.
• Experience with GAAP and non‑GAAP financial metrics.

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
$197,200 — $276,025 USD

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…