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.

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




- 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 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 current system integrations, providing detailed technical requirements and leading UAT
- Mentor junior and mid-level engineers through code reviews, pairing, and design d

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