Job ID: HYC2026011 Long-Term Contract Remote within Canada (Occasional travel to Edmonton, Alberta if required)

About the Role

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 initiatives across modern cloud and hybrid ecosystems.

Key Responsibilities

- Lead the design and implementation of enterprise and solution architectures for modern data platforms and AI-enabled data products
- Translate business goals and strategic priorities into scalable, secure, and high-performing data architecture solutions
- Define enterprise data models, semantic layers, architecture standards, and best practices
- Provide architectural leadership for cloud, hybrid, and up-to-date data ecosystems
- Design and support scalable data products within Data Fabric and Data Mesh environments
- Define and implement secure data sharing frameworks, integration patterns, data linkage strategies, and interoperability solutions
- Support AI-enabled and agentic data solution architectures, orchestration frameworks, and proof-of-concept initiatives
- Design architectures supporting machine learning, advanced analytics, and AI-driven data products
- Establish and promote best practices for data governance, metadata management, data quality, data security, privacy controls, information management, and secure data exchange
- Ensure alignment with enterprise security, compliance, and Responsible AI standards




- Support enterprise data strategy and governance initiatives across cloud and hybrid environments
- Lead discovery sessions, workshops, architecture reviews, and stakeholder discussions
- Collaborate with leadership, architects, engineers, scientists, analysts, and product teams
- Present architecture recommendations, roadmaps, and technical strategies to senior stakeholders and steering committees
- Facilitate alignment across business, technical, governance, and operational teams
- Review solution designs, pipelines, integration strategies, and architecture deliverables for scalability, performance, and optimization
- Support modernization initiatives involving cloud migration, AI enablement, and enterprise data transformation
- Evaluate emerging technologies and recommend innovative approaches for scalable data delivery
- Coach and mentor team members on architecture practices, data governance, and AI-enabled solutions

Requirements

- QualificationDegree, Diploma, or Certification in Computer Science, Information Technology, Engineering, Data Management, or related discipline.
- Experience5+ Years

Required Skills

- 5+ years experience defining technical architecture, data integration, and enterprise solution architectures
- 5+ years experience designing, planning, implementing, and supporting enterprise infrastructure and data platforms




- 5+ years experience across multiple architecture domains including business, application, technology, and data architecture
- 5+ years experience modeling complex business processes and translating them into scalable architecture solutions
- 3+ years experience communicating complex data and architecture concepts to technical and non-technical stakeholders
- Strong experience with enterprise data architecture and cloud data platforms
- Experience with Snowflake, Microsoft Azure, Cloudera, or similar big data/cloud platforms
- Experience with data integration, metadata management, semantic modeling, and data governance frameworks
- Experience with AI-enabled architectures, advanced analytics, machine learning enablement, and agentic frameworks
- Experience with secure data sharing, privacy controls, and enterprise data security practices
- Experience designing scalable and reusable enterprise data products (Nice to Have)
- Experience supporting machine learning, AI, and advanced analytics architectures (Nice to Have)
- Experience with Responsible AI principles and governance frameworks (Nice to Have)
- Experience with enterprise architecture frameworks such as TOGAF (Nice to Have)
- Experience developing training materials and enabling teams on architecture and governance standards (Nice to Have)
- Experience working in public sector or highly regulated environments (Nice to Have)
- Experience leading workshops, architecture reviews, and stakeholder engagement initiatives (Nice to Have)

Application Requirements

Please share suitable profiles with:

- Updated Resume
- Current Location
- Work Authorization
- Availability
- Expected Rate
- LinkedIn Profile

📌 Senior Data Architect / AI Data Architect (Edmonton)
🏢 Hyniva
📍 Edmonton