About the company
Databricks is the Data and AI company. This role is part of the Finance Organisation on the Finance Data and AI team.
Responsibilities
- Design and develop ETL pipelines using Databricks SQL and Python/PySpark for reporting, journal entries, and financial processes
- Architect and own complex finance data pipelines using Databricks Jobs and Lakeflow Declarative Pipelines with data validation and reconciliations
- Lead technical design of AI use cases: forecasting automation, anomaly detection, natural language interfaces
- Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards)
- Design curated Finance datasets and enforce row-level security, data access policies, and Unity Catalog governance
- Define coding standards, data modelling conventions, documentation, and testing frameworks
- Enforce Git-based version control, PR reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) for SOX compliance
- Lead technical scoping for Accounting, FP&A, Internal Audit, and Procurement requirements
- Mentor junior and mid-level engineers
Requirements
- 12+ years of experience in data engineering, analytics engineering, or finance systems
- Deep proficiency in SQL and Python; hands-on experience with Apache Spark and Databricks
- Experience building ELT/ETL pipelines from financial source systems (NetSuite, Salesforce, Stripe, Zuora, or similar)
- Strong understanding of finance and accounting concepts (close processes, revenue recognition, intercompany, chart of accounts)
- Experience building Finance-facing dashboards and self-service BI products
- Familiarity with AI/ML concepts
Conditions
- Location: Bengaluru, India
- Department: Finance