Principal Data Analytics Engineer
Core
Senior technical authority defining architecture, standards, and engineering patterns for semantic models, governed metrics, AI-ready data products, and MLOps to connect enterprise data with scalable analytics and AI solutions.
Role type
Principal AI & Semantic Engineer (Individual Contributor)
Builds
Semantic models, governed metrics, AI-ready data products, ML/LLM patterns, and production AI services
Domain
Enterprise Data, Analytics Engineering, AI/ML, Semantic Modeling
Deliverable
production ML models
Required skills
Semantic modeling, dimensional modeling, SQL, DAX, MLOps, CI/CD, model registry design, vector retrieval, RAG, metadata management, data lineage, responsible AI principles
Preferred skills
Microsoft Purview, Unity Catalog, MLflow, Azure DevOps, GitHub Actions, cloud observability tooling
Technologies
Microsoft Fabric, Power BI, Databricks, Azure, Python
Responsibilities
Define enterprise standards for semantic models and business metrics; Architect semantic consumption patterns across Microsoft Fabric and Databricks; Define engineering standards for deploying and governing ML and generative AI solutions; Design curated, governed data products for predictive analytics and generative AI; Mentor Senior Analytics & AI Engineers and lead architecture reviews
Seniority
Principal, hands-on IC