Semantic Data Eng

Job Summary
Location: United States
Experience: 5+ years in Semantic Data Engineering
Job Type: Permanent
Thinking Minds' client is looking for an experienced Senior Semantic Data Engineer to enhance their data solutions team. The role is crucial for creating a shared enterprise understanding of business concepts, relationships, rules, and measures. This helps people, applications, processes, and AI interpret and use data consistently. The position involves carrying solutions from discovery through production to improve decision confidence and scale automation and AI.

Ideal Candidate Should Have
Snowflake expertise
Experience in semantic modeling
Strong business analysis skills
AI evaluation and enablement experience
Ability to partner with business leaders and technical teams
Role Overview
The role involves designing and delivering trusted, reusable Snowflake data products for business domains. It requires translating source data into certified dimensional structures, reusable views, and data contracts. The engineer will build and maintain the semantic layer by defining shared business concepts, terminology, relationships, rules, and measures.

This supports consistent use of enterprise data across analytics, applications, business processes, automation, and AI.

Key Responsibilities
Design and deliver Snowflake data products
Translate source data into certified structures
Build and maintain the semantic layer
Define shared business concepts and terminology
Support consistent use of enterprise data
Collaborate with business leaders and technical teams
Top Skills and Modules
Snowflake
Semantic modeling
Business analysis
AI evaluation
Data contracts
Dimensional structures
Reusable views
Automation and AI scaling