Operating across multiple countries with many business units, Belron built a repeatable framework on Snowflake using the dbt Platform to prevent scaling chaos. This solution codifies the analytics development lifecycle (ADLC) through modular code, environments, CI/CD, and automated testing. This session will share reusable patterns for new rollouts and provide a practical decision framework for choosing between dbt Projects on Snowflake and the dbt Platform for enterprise control, including governance, cross-project mesh, and observability. You'll also learn about the adoption metrics Belron uses to measure success. You'll learn: reusable ADLC guardrails, a dbt product decision tree, and how standardization enables a sustainable mesh.

Learn how to efficiently scale and manage data engineering pipelines with Snowflake's latest native capabilities for transformations and orchestration with SQL, Python, and dbt Projects on Snowflake. Join us for new product and feature overviews, best practices, and live demos.