Staff Data and AI Engineer, Finance

<p data-pm-slice="1 1 []"><strong>GAQ327R175</strong></p> <p><strong>About the Role</strong></p> <p><strong>This role is a part of the Finance Organisation.</strong></p> <p>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 organization. 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.</p> <p>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&amp;A, and Finance leadership to define what gets built and how.</p> <p>You will be embedded in a Finance organization that takes data and AI seriously, with visibility to CFO-level priorities. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks.</p> <p><strong>What You Will Do:</strong></p> <ul> <li>Architect, build, and own the most complex finance data pipelines in the Finance DataLake, using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations</li> <li>Lead the technical design of AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data</li> <li>Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders</li> <li>Design and deliver curated Finance DataLake datasets and enforce row-level s