Principal Data Analytics Engineer

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.

Operating at the intersection of Analytics, Data Engineering, Data Science, Governance, and AI Platform Engineering, this role ensures that enterprise data, metrics, models, and knowledge assets can be reliably discovered, understood, deployed, monitored, and reused. The Principal AI & Semantic Engineer provides hands-on technical leadership, guides complex implementations, and mentors engineers and analysts while remaining an individual contributor.