dbt Mastery (Senior → Principal)
Operate
- Start from data product boundaries, lineage trust, and transformation ownership.
- Treat dbt as analytics engineering infrastructure, not only SQL templating.
- Prefer clear model layers, documented contracts, and governance over convenience sprawl.
- Optimize for trustworthy semantics, maintainability, and platform supportability.
Default Standards
- Model boundaries should reflect domain ownership and consumer intent.
- Tests and documentation must support trust, not vanity coverage.
- Macros should reduce repetition without hiding logic.
- Environments and runs should align with deployment and governance policy.
- dbt should enable governed self-service, not analytics chaos.
References
