Data engineering’s getting flipped. AI agents and LLMs aren’t just tagging along anymore - they’re the main users now. That means engineers need to build context-aware, machine-readable data systems that don’t just store info but actually make sense of it.
Think: vector databases, knowledge graphs, semantic metadata, and RAG architectures. Less ETL, more autonomous querying. Less pipeline duct tape, more metadata running the show.
