Finance Data and AI Lead
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the technical authority for the data pipelines, AI systems, and internal applications behind Finance and Accounting. You will build ETL pipelines, design AI use cases, build internal apps and dashboards, enforce governance and CI/CD standards, and mentor engineers. The role is based in Bengaluru.
Requirements
- 12+ years in data engineering, analytics engineering, or finance systems
- Deep proficiency in SQL and Python; hands-on Apache Spark and Databricks
- Experience building ETL pipelines from financial systems such as NetSuite, Salesforce, Stripe, or Zuora
- Understanding of finance and accounting concepts including close, revenue recognition, and intercompany
- Ability to translate ambiguous Finance requirements into technical solutions
- Experience building finance dashboards and self-service BI
- Familiarity with AI/ML concepts
Responsibilities
- Design and develop ETL pipelines using Databricks SQL and Python/PySpark
- Architect and own complex finance data pipelines with validation and reconciliations
- Lead technical design of AI use cases such as forecasting and anomaly detection
- Build internal Finance applications, Genie agents, and AI/BI dashboards
- Deliver curated datasets and enforce row-level security and Unity Catalog governance
- Define coding standards, data modelling conventions, and testing frameworks
- Enforce Git-based version control and CI/CD for SOX change management
- Lead technical scoping for Accounting, FP&A, Internal Audit, and Procurement requirements
- Act as technical point of contact during financial close
- Partner with IT and Engineering on system integrations and lead UAT
- Mentor junior and mid-level engineers
- Identify architectural debt and performance bottlenecks and drive resolution