About the Role

As a Finance Data and AI Specialist, you will be a hands-on contributor building
and maintaining the data pipelines, applications, and AI-powered tools that
support Databricks' Finance and Accounting organisation. You will report to the
Senior Manager, Finance Data and AI and work as a core member of a team that
combines engineering rigour with Finance domain knowledge.

This role is ideal for someone who is technically solid, eager to go deep on
the Databricks platform, and excited to apply modern data and AI tooling to real
Finance problems.

What You Will Do

* Work with Accounting, FP&A;, Internal Audit, and Procurement teams to gather
requirements and deliver well-documented technical solutions
* 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
* Contribute to the development of Finance applications (Databricks Apps, Genie
Spaces, AI/BI dashboards) that enable self-service analytics for Finance
stakeholders
* 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
* 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 nee

📌 Senior Finance Specialist (Bengaluru)
🏢 Databricks
📍 Bengaluru