Case Study: Flexport achieves a scalable data mesh and 5.5x increase in data adoption with Snowflake

Flexport Builds A Scalable Data Mesh With Snowflake and dbt

Flexport, a global freight forwarder serving more than 10,000 clients across 200 countries, needed a more robust data platform to support end-to-end visibility of supply chains and low-latency production use cases. Migrating from a legacy warehouse and shifting to a service‑oriented architecture, the company rethought data as a product and sought a scalable, decentralized approach that reduced administrative overhead and guaranteed performance for analytical and external needs.

By standardizing on Snowflake (with dbt for modeling) Flexport built a scalable data mesh of domain‑bounded producer and consumer marts, a reconciled “gold” consumer mart for BI and data science, and automated pipelines with streams and tasks. The platform improved governance and discoverability via RBAC, column-level security, and Snowflake Data Marketplace, driving a 5.5x increase in active data users and cutting finance month‑end close by two days, while enabling live sharing and future monetization of proprietary data.

Flexport

Abhi Sivasailam

Head of Growth and Analytics