Data Engineering

Our data engineers design and build modern data platforms on cloud-native services — BigQuery-centered warehouses, Dataflow ingestion pipelines, and the analytics infrastructure that feeds ML feature stores and business reporting alike. Snowflake and Databricks experience is on the bench too, where the estate calls for it.

They optimize for the part of the data stack that determines whether analytics actually gets used: trust. That means tested pipelines, documented schemas, clear ownership, and cost models the business can defend.