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Finance Manager

Databricks

midpermanentfinance Mountain View, CA 63 days ago via LinkedIn
169,100 - 232,550 USD/annual

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Tags

FP&AFinancial ModelingData AnalysisGAAPNon-GAAPExecutive ReportingGoogle SheetsCross-functional PartnershipsForecastingGTM

About the role

Role Overview

Databricks is seeking a Finance Manager to join its FP&A team. You will analyze consumption growth drivers, partner with GTM stakeholders, and drive executive decision-making through financial modeling and clear communication.

Responsibilities

  • Solve analytical problems by gathering and summarizing large datasets to enable efficient executive decisions
  • Lead the end-to-end recommendation process
  • Build trusted partnerships across Sales, Finance, Commercialization, Data Science, Accounting, IT, and Business Operations (and technical teams)
  • Create and maintain financial and operational models supporting real-time forecasts for key metrics
  • Propose and implement solutions to drive key financial metrics in partnership with the GTM team
  • Improve processes through standardization, simplification, controls, and reporting enhancements

Requirements

  • Bachelor’s degree in Business, Finance, IT, or an equivalent quantitative field
  • 6+ years in FP&A, corporate finance, accounting, or data analytics
  • Strong cross-functional business partnership skills, especially with GTM organizations
  • Financial modeling experience aligned with industry best practices; ability to manage complex spreadsheets (with Google Sheets as a plus)
  • Strong data analysis skills and data-driven insight generation
  • Ability to communicate financial results clearly via reports, charts, and narratives
  • Experience with GAAP and non-GAAP financial metrics

Nice-to-Haves

  • Expertise in Google Sheets

Pay

  • Zone 1: $169,100–$232,550 USD (non-commissionable role/on-target earnings context as described by the employer)

About Databricks

Databricks is a data and AI company providing the Databricks Data Intelligence Platform that unifies and democratizes data, analytics, and AI. It is widely used across industries by thousands of organizations and is headquartered in San Francisco, with offices worldwide.

Scraped 7/22/2026