At Kaizen Gaming, analytics engineering grew to around 50 engineers across six domain teams, each with different levels of dbt adoption and their own ways of solving similar problems. As principal analytics engineers, we needed to improve consistency without turning central governance into a bottleneck. In this talk, we will share three practical patterns that helped us do that: moving company-wide foundational models into a centrally owned dbt-kzn-core repository, packaging shared macros and tests into a custom internal package named dbt-kzn-utils with automation to propagate standards downstream, and managing dbt Cloud configuration through Terraform with CI guardrails that scope changes to affected projects only. This approach helped us improve developer experience, reduce duplicated effort, and centralize the right responsibilities while keeping domain teams autonomous. Attendees will leave with concrete patterns they can reuse in their own multi-team dbt setup.