Senior Data Architect / AI Data Architect

Senior Data Architect / AI Data Architect

Location

Remote within Canada (Occasional travel to Edmonton, Alberta if required)

Employment Type

Long-Term Contract

Work Schedule

Full-Time

Job Summary

We are seeking an experienced Senior Data Architect / AI Data Architect to support enterprise data modernization, AI enablement, and digital transformation initiatives within a large public sector environment.

This role will lead architecture strategy, enterprise data platform design, AI-enabled data product development, and secure data integration across modern cloud and hybrid ecosystems.

The ideal candidate will bring strong expertise in enterprise data architecture, cloud data platforms, data governance, and AI-enabled solution design across Snowflake, Microsoft Azure, and Cloudera environments.

Key Responsibilities

Enterprise Data Architecture & Strategy

• Lead design and implementation of enterprise and solution architectures for modern data platforms and AI-enabled data products
• Translate business goals into scalable, secure, and high-performing architecture solutions
• Define enterprise data models, semantic layers, architecture standards, and best practices
• Provide architectural leadership across cloud, hybrid, and modern data ecosystems

Data Platforms, Integration & AI Enablement

• Design scalable data products within Data Fabric and Data Mesh environments
• Define secure data sharing frameworks, integration patterns, and interoperability solutions
• Support AI-enabled and agentic architecture initiatives and proof-of-concepts
• Design architectures supporting machine learning and advanced analytics solutions

Governance, Security & Compliance

• Define best practices for data governance, metadata management, and data quality
• Ensure compliance with security, privacy, and Responsible AI standards
• Support enterprise data strategy and governance initiatives
• Enable secure data exchange across cloud and hybrid systems

Stakeholder Engagement & Leadership

• Lead workshops, discovery sessions, and architecture review meetings
• Collaborate with business leaders, engineers, analysts, and product teams
• Present architecture roadmaps and recommendations to senior stakeholders
• Ensure alignment across business, technical, and governance teams

Delivery Support & Innovation

• Review architecture designs for scalability, performance, and optimization
• Support cloud migration and enterprise data modernization initiatives
• Evaluate emerging technologies and recommend innovation opportunities
• Mentor teams on architecture, governance, and AI-enabled practices

Required Qualifications

Education

• Degree/Diploma/Certification in Computer Science, Information Technology, Engineering, Data Management, or related field

Mandatory Experience

• 5+ years in enterprise architecture and data solution design
• 5+ years in data integration and enterprise platform implementation
• 5+ years across business, application, technology, and data architecture domains
• 5+ years translating business processes into scalable architecture solutions
• 3+ years communicating architecture concepts to technical and non-technical stakeholders

Technical Skills

• Strong experience in enterprise data architecture
• Cloud platforms: Snowflake, Microsoft Azure, Cloudera (or similar)
• Data integration, metadata management, and semantic modeling
• Data governance and security frameworks
• AI-enabled architecture, machine learning, and advanced analytics
• Secure data sharing and privacy controls

Nice to Have

• Enterprise data product design experience
• Machine learning / AI / advanced analytics architecture exposure
• Responsible AI governance experience
• TOGAF or enterprise architecture frameworks
• Public sector or regulated environment experience
• Workshop facilitation and stakeholder engagement experience

Preferred Technologies

• Snowflake
• Microsoft Azure
• Cloudera
• Data Fabric / Data Mesh
• AI & Agentic Frameworks
• Big Data Ecosystems
• Metadata & Governance Tools
• Cloud Data Warehousing
• Enterprise Integration Platforms

Work Environment

• Primarily remote within Canada
• Occasional travel to Edmonton, Alberta may be required
• Candidates must be eligible for background checks and government clearance requirements
• Equipment must support Azure Virtual Desktop (AVD)

Additional Information

Strong communication, leadership, and stakeholder engagement skills are essential for success in this role.