About the Company
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.
Responsibilities
- Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines.
- Own and evolve the Finance semantic layer: metric definitions, business logic, and data models.
- Partner closely with Accounting during month-end and quarter-end close.
- Build and maintain dashboards and reporting for monthly, quarterly, and executive-level reporting.
- Identify, scope, and deliver AI use cases that materially change how Finance and Accounting work.
- Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards).
- Publish curated, well-documented finance datasets and metrics.
- Partner with Accounting, FP&A, Internal Audit, and Procurement to understand business requirements.
- Manage and grow a team of finance data analysts / finance engineers.
- Enforce Git-based version control, change management, and CI/CD practices.
- Partner with IT and Engineering to provide requirements and perform UAT.
- Establish data management, semantic modeling, and documentation standards.
- Serve as a proactive leader.
Requirements
- 12+ years of experience in business intelligence, financial analytics, or analytics engineering, with deep exposure to finance/accounting operations, and at least 3 years in a people management or team lead capacity.
- Strong understanding of core finance and accounting concepts.
- Proficiency in SQL and Python.
- Experience with BI and data visualization tooling (Tableau, Looker, Power BI, or Databricks AI/BI dashboards).
- Familiarity with ELT/ETL concepts and how financial source systems feed into a centralized data lake.
- Demonstrated ability to translate ambiguous Finance requirements into well-scoped deliverables.
- Comfortable working across both technical and non-technical stakeholders.
- Familiarity with AI/ML concepts.
- Nice to have: Prior experience at a high-growth SaaS or cloud infrastructure company, exposure to AI/BI tools, Genie, or LLM-powered applications, experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines, CPA, CFA, or formal finance/accounting background.
Conditions
- This role reports directly to the Senior Director of Finance Data, AI & Strategy, with visibility to CFO-level priorities.