GAQ327R175

About the Role

This role is a part of the Finance Organisation.

This is a high-impact role at the intersection of finance domain expertise and data platform capability. You will work closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP&A;, and Finance leadership to define what gets built and how.

You will be embedded in a Finance organization that takes data and AI seriously, with visibility to CFO-level priorities. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks.

What You Will Do:
- Architect, build, and own the most complex finance data pipelines in the Finance DataLake, using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
- Lead the technical design of AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection,



and natural language interfaces to financial data
- Design and deliver curated Finance DataLake datasets and enforce row-level security, data access policies, and Unity Catalog governance standards
- Define and champion coding standards, data modeling conventions, documentation practices, and testing frameworks across the Finance engineering team
- Enforce and evolve Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements
- Lead technical scoping and solutioning for requirements from Accounting, FP&A;, Internal Audit, and Procurement teams
- Serve as the primary technical point of contact during financial close, ensuring data accuracy and timely resolution of pipeline issues
- Partner with IT and Engineering on recent system integrations, providing detailed technical requirements and leading UAT
- Mentor junior

📌 Staff Data and Ai Engineer, Finance (Bengaluru)
🏢 Databricks
📍 Bengaluru