Staff Data and AI Engineer, Finance

This role is part of the Finance Organisation at Databricks. As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organisation.

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.

Key responsibilities:

• Architect, build, and own complex finance data pipelines in the Finance DataLake
• Lead technical design of AI use cases for the Finance and Accounting organisation
• Build and maintain internal Finance applications
• Design and deliver curated Finance DataLake datasets
• Define and champion coding standards, data modelling conventions, and testing frameworks
• Enforce and evolve Git-based version control and CI/CD pipelines
• Lead technical scoping and solutioning for requirements from Accounting, FP&A, Internal Audit, and Procurement teams
• Serve as primary technical point of contact during financial close
• Mentor junior and mid-level engineers
• Proactively identify architectural debt, performance bottlenecks, and tooling gaps

Requirements:

• 12+ years of experience in data engineering, analytics engineering, or finance systems
• Deep proficiency in SQL and Python; hands-on experience with Apache Spark and the Databricks platform
• Experience building and maintaining ELT/ETL pipelines from financial source systems
• Strong understanding of core finance and accounting concepts
• Ability to independently translate ambiguous Finance requirements into technical solutions
• Comfortable driving technical conversations with engineering peers and non-technical Finance stakeholders

Nice to Have:

• Prior experience at a high-growth SaaS or cloud infrastructure company
• Hands-on experience with AI/BI tools, Genie, or LLM-powered applications
• Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines
• CPA, CFA, or formal finance/accounting background