GAQ327R175

About The Role

This role is a part of the Finance Organisation.

As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team. This individual is expected to be based in Bengaluru.

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.

What You Will Do

Design and develop ETL pipelines using Databricks SQL and Python / PySpark to enhance reporting, automate journal entries, and transform core financial processes across various domains in accounting and FP&A;,



such as revenue, expenses, equity, commissions, and tax
Architect, build, and own the most complex finance data pipelines in the Finance data lake 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 organisation, including forecasting automation, anomaly detection, and natural language interfaces to financial data
Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders
Design and deliver curated Finance datasets and enforce row-level security, data access policies, and Unity Catalog governance standards
Define and champion coding standards, data modelling conventions, documentation practices, and testing frameworks across the Finance engineering team
Enforce and evolve

📌 Data and AI Lead, Finance (Bengaluru)
🏢 Databricks
📍 Bengaluru