Finance Manager
Databricks · Mountain View, CA | New York City, NY | San Francisco, CA · Finance
About this role
Databricks is hiring a director-level Financial Analyst in the finance function based in Mountain View, CA | New York City, NY | San Francisco, CA. The posting calls out experience with Spark, Databricks, MLflow, Delta Lake. Compensation is listed at $169,100–$232,550 per year.
- Role
- Financial Analyst
- Function
- finance
- Level
- director
- Track
- Management
- Employment
- Full-time
- Location
- Mountain View, CA | New York City, NY | San Francisco, CA
- Department
- Finance
More roles at Databricks
Job description
from Databricks careersGAQ227R117
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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 serve as the strategic finance partner to our Product Support organization, driving financial rigor and operational insights across our support offerings. You will own the Support P&L, build capacity-planning frameworks, and partner cross-functionally to shape the financial strategy behind both new and existing support investments.
As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis and operational modeling, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, from standing up KPIs for emerging support offerings to assessing the financial impact of commercialization decisions, and you will approach them with first principles thinking to come up with a solution.
Build and maintain a workforce management capacity model in partnership with Product, Support, Data Science, and StratOps teams to ensure optimal resource planning and allocation across support functions
Own and operate the Support P&L, driving visibility into cost structure, margin dynamics, and financial performance across all support offerings