Senior Data Architect

Our utilities client is seeking a Senior Data Architect to assist with enterprise AI initiatives (AI & GenAI) and to design and implement modern scalable data platforms (Azure) and AI innovation using LLM, RAG, and MLOps/LLMOps frameworks

Candidates must be located in Calgary or Edmonton. Hybrid work model of in-office and WFH

Must Haves:

• 8+ years of experience as a Data Architect or Solution Architect with a focus on MS Azure enterprise data architecture focusing on scalable platforms, hybrid lakehouses, and analytical databases
• Experience with AI & GenAI architecture including LLM, RAG, model fine-tuning, and NLP
• Experience with MLOps/LLMOps frameworks supporting end-to-end production deployment and operationalization
• Experience in ETL/ELT, CDC pipelines, batch processing, real-time streaming, and event-driven API architectures
• Master’s degree in Computer Science, AI, Machine Learning, Data Science, Software Engineering, Statistics, or Applied Mathematics

Strong Nice to Haves:

• PhD in Computer Science, AI, Machine Learning, Data Science, Software Engineering, Statistics, or Applied Mathematics
• Strong communication skills with Stakeholder management experience
• Capable of identifying and operationalizing opportunities

Responsibilities

• Design and implement scalable enterprise data architectures and hybrid lakehouse platforms
• Architect and operationalize enterprise AI and GenAI initiatives
• Drive lifecycle management, cost optimization, capacity planning, and resource utilization
• Deliver batch, streaming, event-driven API, and CDC data pipelines using ETL/ELT frameworks
• Develop predictive modeling, forecasting, anomaly detection, recommendation, and optimization solutions
• Architect executive-ready dashboards, operational reporting, and intelligent summarization systems
• Champion programs from requirements discovery through architecture and design