Job Title: Senior Data Architect

Project Name

One Data Alberta Program and Crosswalk

Role Overview

The Data Centre of Excellence (DCoE) is seeking a Senior Data Architect to support the OneData Alberta and Crosswalk initiatives. This role provides senior-level architectural leadership to design develop and govern enterprise data solutions within a federated data ecosystem.

The Senior Data Architect will play a key role in enabling a Data Fabric / Data Mesh architecture across cloud and hybrid environments ensuring scalable secure and high-quality enterprise data assets that support analytics AI policy and decision-making.

The role focuses on building data products integration frameworks crosswalk models semantic layers and AI-enabled data solutions across platforms such as Snowflake Microsoft Azure and Cloudera.

Key Responsibilities

1. Architecture & Strategy Leadership

• Lead enterprise and solution architecture design for data platforms AI-enabled products and integration solutions
  
• Define and govern enterprise data models architecture standards and best practices
  
• Translate business requirements into scalable secure high-performance data architectures
  
• Provide thought leadership in data management analytics and AI-driven architecture
  
• Design cloud-based solutions including secure data sharing and agentic AI frameworks
  

2. Data Platform & Product Enablement

• Design and support Data Fabric / Data Mesh implementations across Snowflake Azure and Cloudera
  
• Develop data linkages crosswalk frameworks and integration patterns
  
• Establish data quality metadata and governance frameworks
  
• Design semantic layers and reusable data models for enterprise consumption
  
• Build and validate proof-of-concept solutions for data integration and AI use cases
  

3. Stakeholder Engagement & Advisory

• Facilitate workshops discovery sessions and requirement-gathering discussions
  
• Provide architectural guidance to leadership and technical teams
  
• Present solutions to steering committees and senior stakeholders
  
• Build consensus across technical and business stakeholders
  

4. Governance Standards & Innovation

• Define and promote data governance quality security and sharing standards
  
• Support cloud modernization and AI enablement initiatives
  
• Evaluate emerging technologies including AI and agentic frameworks
  
• Ensure compliance with security privacy and data classification policies
  

5. Delivery Support & Collaboration

• Collaborate with architects engineers and data scientists across projects
  
• Review solution designs data models and pipelines
  
• Ensure scalability performance and architectural alignment
  
• Manage risks dependencies and stakeholder approvals
  

6. Leadership & Enablement

• Coach and mentor team members on data architecture and AI solutions
  
• Promote data as a strategic enterprise asset
  
• Foster innovation and continuous improvement culture
  
• Strengthen stakeholder relationships across the organization
  

Deliverables

• Enterprise architecture designs and solution recommendations
  
• Data models integration designs and semantic layer documentation
  
• AI-enabled and data product proof-of-concepts
  
• Crosswalk frameworks and data linkage documentation
  
• Status reports (weekly/monthly)
  
• Technical documentation for governance and standards
  

Must-Have Qualifications

• Bachelors degree or equivalent in related field
  
• 3 years experience working with clients and explaining complex data concepts
  
• 5 years experience in:
  
  • Data architecture and integration design
    
  • Enterprise data modeling and system design
    
  • Infrastructure and platform architecture
    
  • Multi-domain architecture (business application technology)
    
  • Business process modeling and translation into technical solutions
    

Nice-to-Have Qualifications

• 5 years experience leading workshops and stakeholder engagements
  
• Experience in solution architecture and business requirements analysis
  
• Experience designing scalable reusable data products
  
• Experience with AI/ML and data science architecture
  
• Experience with Snowflake Azure Cloudera or similar platforms
  
• Experience in enterprise architecture frameworks (e.g. TOGAF)
  
• Experience in public sector environments
  
• Experience with data governance security and privacy controls
  
• Experience implementing Responsible AI principles
  
• Experience building training and enablement program
  

Submission Requirements

• Updated resume with detailed project experience
  
• Each role must include duration (MMM/YYYY to MMM/YYYY)
  
• Three professional references (most recent first)