As dbt adoption has grown and matured across organizations of all sizes, so too have the challenges teams face in scaling their dbt implementations. What once started as a single project managed by a handful of analysts and engineers can quickly evolve into a sprawling collection of models, teams, domains, and pipelines. The simplicity that made dbt so compelling at first can become difficult to maintain when everyone is working on the same project, stepping on each other’s toes, or struggling to maintain standards across teams.