Director, Data Platform

This team designs intelligent, autonomous systems that eliminate financial operations for companies globally. We automate everything from bookkeeping and reconciliation to tax, payroll, forecasting, and document understanding: turning hours of work into seconds. The team blends deep research pedigree with proven industry experience. We operate with high standards, are tool-agnostic, and expect engineers to own problems end-to-end. We collaborate closely, push boundaries responsibly, and ship exceptional work quickly. You’ll solve unprecedented technical challenges using unique, end-to-end financial datasets no one else in the industry has.

As a Director of Data Platform Engineering, you’ll lead the team responsible for the data backbone of our financial systems. You’ll set the technical direction for high-volume financial data ingestion, our Databricks lakehouse, data orchestration, canonical financial models, and the infrastructure that makes our data platform reliable, scalable, and increasingly real-time.

You’ll combine strong technical judgment with people leadership—building a high-performing engineering organization, establishing platform standards, driving major migrations, and partnering closely with product, accounting, and platform teams. You’ll help shape a data platform where correctness, auditability, performance, and operational excellence are foundational.

This role is based in San Francisco.

* Lead and develop the data platform team, setting direction while supporting engineers’ growth and clear ownership * Shape ingestion from payment, banking, billing and ERP sources, with dependable correction, replay and recovery * Guide the Databricks lakehouse and move processing toward near-real-time through streaming and orchestration * Set rules for data contracts, schema changes, quality checks and shared financial models * Lead legacy pipeline migrations and improve platform reliability, performance and operating costs

* Lead and grow a high-performing data platform engineering team, providing technical direction, mentorship, career development, and clear ownership.

* Set the technical strategy for high-volume financial data ingestion across payment processors, banks, billing systems, and ERP/GL platforms, with strong guarantees around correctness, replayability, and recovery.

* Lead the evolution of our Databricks lakehouse using Spark, Delta Lake, Unity Catalog, dbt, Python, and SQL, optimizing for scale, performance, reliability, and cost.