Data platform architecture is not just about choosing tools. It is about designing the system around them.

This category is about platform layers, data flows, ownership, ingestion patterns, modeling boundaries, environments, orchestration, metadata, governance, observability, and deployment design.

The goal is to build data platforms that are reliable in production and still understandable six months later.