Is context engineering the new analytics engineering?

Analytics engineers built transformations to define metrics and share them in the data warehouse. But AI agents need more than definitions. They need context.

At Checkr, the analytics engineering team treats context engineering as the next evolution of their practice. This session covers what it looks like to engineer context, organizational knowledge, and governance into AI systems — including what semantic layers usually miss. It dives into how Checkr uses dbt + Omni to build guardrails and context for AI, accelerates this process with LLM-assisted tooling, and builds a feedback loop that makes AI smarter over time. You’ll learn why this discipline is becoming core to the analytics engineering role, not a side project.