27 Aug
|
Databricks
|
India
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 (India)
🏢 Databricks
📍 India