Develop the Intelligence Platform: scale semantic layer and RAG.
Guide Product Strategy through analysis, KPI definition, and data modeling.
Support ML & Data Science Workflows: build and maintain data pipelines and features.
Champion Engineering Rigor: enforce Git, CI/CD, and rigorous peer reviews.

🎯 Requirements

5+ years of Analytics Engineering, Data Science, or Data Engineering.
Mastery of dbt and SQL: write software-grade SQL and manage large dbt projects.
Python and AI literacy: build ML workflows and interact with LLM APIs.
Engineering discipline: Git, CI/CD, and automated data testing.
AI-first builder mindset with product thinking and a growth mindset.

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