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
* Enf

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