Principal Data Analytics Engineer

About the role

The Principal AI & Semantic Engineer is the senior technical authority responsible for connecting governed enterprise data and business meaning with scalable analytics and artificial intelligence solutions. This role defines the architecture, standards, and engineering patterns for semantic models, governed metrics, AI-ready data products, machine learning operations, and generative AI consumption.

What you'll do

• Semantic Architecture & Governed Metrics
• Define enterprise standards and reference patterns for semantic models, dimensional models, business metrics, KPIs, hierarchies, calculations
• Architect semantic consumption patterns across Microsoft Fabric, Power BI, Databricks Gold-layer data, and approved AI applications
• Partner with business domain owners, analysts, and Data Governance to translate business concepts into consistent, governed definitions and analytical models
• Lead design reviews for semantic models and analytical data products, balancing usability, reuse, performance, security, and maintainability

What you need

• 10–18 yrs of experience
• Data analysis
• Machine learning
• SQL
• LLMs
• MLOps
• Databricks
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Unity
• Azure
• Data modelling
• ETL
• CI/CD
• Power BI