About the Role

What You Will Do
- Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial processes across accounting and FP&A; domains, including revenue, expenses, equity, commissions, and tax.
- Build and maintain finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic
- Develop and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements
- Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
- Support the implementation of row-level security and data access policies across Finance DataLake datasets
- Work with Accounting, FP&A;, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
- Follow Git-based version control, pull-request review processes,



and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements
- Support financial close by monitoring pipelines, investigating data issues, and escalating as needed
- Participate in UAT for new system integrations and assist with technical documentation
- Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead

What We Look For
- 7+ years of experience in finance and accounting, data engineering, analytics engineering, or finance systems
- Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a solid plus
- Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar)
- Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financia

📌 Senior - Finance Data and Ai Specialist (Bengaluru)
🏢 Databricks
📍 Bengaluru