Databricks is the Data and AI company, with more than 20,000 organizations worldwide relying on the Databricks Data + AI Platform
Headquartered in San Francisco with 30+ offices
Responsibilities
Lead the team that owns the data foundations, finance semantic layer, financial reporting, and AI-enabled analytics for Databricks' Finance and Accounting organization
Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
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 including forecasting automation, anomaly detection, and natural language interfaces (Genie Spaces)
Publish curated finance datasets and metrics, enforcing row-level security and data access policies
Manage and grow a team of finance data analysts / finance engineers
Enforce Git-based version control, change management, and CI/CD practices to satisfy SOX requirements
Requirements
12+ years of experience in business intelligence, financial analytics, or analytics engineering, with at least 3 years in a people management or team lead capacity
Strong understanding of core finance and accounting concepts (close, revenue recognition, intercompany, chart of accounts, financial reporting)
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 financial source systems (SAP, Salesforce, Stripe, Zuora)
Comfortable working across technical and non-technical stakeholders