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Requirements and responsibilities
We're building the governed data foundation that powers AI-driven analytics across the entire company. You'll deep dive in our semantic layer and context structures that let AI tools consume data in a consistent and trustworthy way.This role lives at the intersection of data modeling, software engineering, and applied AI.The Stack: LookML/Looker, SQL, Python, CI/CD (GitHub Actions).The principles:AI-Native Analytics: We design data agents and semantic context, not just dashboards.Governance as Code: Automated metadata pipelines and semantic consistency checks over manual upkeep.Built to Be Trusted: Every model and definition feeds AI tools, so precision and clarity are the whole game.We're especially looking for people who've been following the latest shifts in AI for data closely (semantic layers, agent frameworks, how LLMs consume structured context) and want to put it into production for real.If this challenge resonates with you and you thrive in fast-moving, ambiguous environments, let's talk.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)