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Overview
Join Databricks as a Data and AI Lead in Finance, where you'll drive technical decisions and lead complex data pipelines and AI systems for the Finance organization. Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
What you'll 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
- •Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders
- •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 new system integrations, providing detailed technical requirements and leading UAT
- •Mentor junior and mid-level engineers through code reviews, pairing, and design discussions, raising the technical quality of the broader team
- •Proactively identify architectural debt, performance bottlenecks, and tooling gaps, and drive resolution with minimal direction
Conditions
- •Comprehensive benefits and perks that meet the needs of all employees
- •Commitment to fostering a diverse and inclusive culture where everyone can excel