Job Posting Details

Sr. Data Architect

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Our client requires two (2) Senior Data Architect to provide senior-level architectural leadership and strategic direction across initiatives. It includes leading foundational activities for Data Access such as schema analysis, data profiling, and the development of enterprise data architecture, enterprise data models, data quality (DQ) frameworks, and metadata standards. The role also guides the design and implementation of data linkages and crosswalk frameworks, enabling integrated and interoperable data across a federated data ecosystem, and supporting the development of strategic data assets for OneData Alberta.

As a Data Architect, this role contributes deep expertise in modern data platforms, architectures, and data product development practices. It supports the evolution of a Data Centre of Excellence that delivers reusable, high-quality data products and services, enabling improved data access, advanced analytics, and data-informed decision-making across the organization.

The role works closely with leadership, architects, delivery teams, and external partners to enable a federated data ecosystem. It requires strong stakeholder engagement, including facilitating discussions, mediating complex data relationships, and building consensus among diverse technical and business groups.

This position plays a key role in advancing the cultural shift toward treating data as a strategic enterprise asset, fostering innovation, and ensuring alignment between business priorities and data technology solutions.

Resource will work remotely but must be available to be on-site when requested for meetings. Standard Hours of work are 08:15 – 16:30 Alberta time. Work must be done from within Canada, due to network and data security issues. Resource is responsible to pay for travel to on-site meetings.

Edmonton, Alberta (Remote within Canada)

Mandatory Requirements

• The proposed resource must meet or exceed one of the following:
  • University graduation in business, management or a related discipline and 6-yr Data Architect (DA) experience; OR
  • 2-yr diploma in business, management or a related discipline and 8-yr DA experience; OR
  • 1-yr certificate in business, management or a related discipline and 9-yr DA experience; OR
  • 10-yr DA experience
• 3 years’ experience dealing with clients and explaining complex data principles in a thoughtful manner.
• 5 years’ experience in defining technical architecture, data integration, supporting software development, software configuration and deployment processes.
• 5 years’ experience designing, planning, implementing and supporting infrastructure and application solutions in an architecture capacity for a large and complex organization
• 5 years’ experience in multiple architecture domains e.g. business, application, technology, data/information, security, and privacy.
• 5 years’ experience modelling complex business processes and translating them into understandable IT constructs.

Desirable Requirements

• 5 years demonstrated ability to lead initiatives, facilitate workshops, and communicate effectively with senior management and cross-functional stakeholders; includes planning, estimation, presenting data and AI solutions and standards, and risk assessments.
• 5 years direct, hands-on experience in business requirements analysis, architecture and design, and end-to-end delivery of cloud-based data and analytics solutions using platforms such as Snowflake, Microsoft Azure, and Cloudera. Includes data management, engineering, visualization, advanced analytics/data science, AI-enabled data products, and exposure to agentic frameworks and AI-driven orchestration patterns.
• 5 years direct, hands-on experience leading business requirements analysis, solution architecture, design, and deployment of enterprise data and AI platforms. Includes data migration from legacy systems to modern platforms, covering data acquisition, transformation, data modeling, quality, metadata management, lineage/provenance, data integration, data linkages, crosswalk frameworks, master/reference data alignment, and migration from legacy systems to modern platforms.
• 5 years’ experience designing and delivering scalable, reusable data products (e.g., curated datasets, APIs, semantic layers) that are consumable across the organization. Includes implementation of secure data sharing frameworks, data access patterns, and governance to enable analytics, reporting, and AI/ML use cases.
• 5 years’ experience designing architectures that support machine learning, data science, and advanced analytics, including feature engineering, model training pipelines, MLOps, model monitoring, and lifecycle management. Includes exposure to agentic frameworks, autonomous decisioning systems, and orchestration of AI-driven workflows.
• 3 years’ experience designing solution architectures for AI-enabled data products, including agentic frameworks, AI orchestration, and intelligent automation. Includes integration of AI services with data platforms, governance of AI workflows, and alignment with enterprise architecture and security standards.
• 5 years’ experience developing and delivering training materials and enabling teams on data, analytics, and AI best practices, governance, and platform adoption.
• 5 years’ experience with Big Data and cloud-based platforms (e.g., Snowflake, Microsoft Azure, Cloudera Data Platform) and modern architectural paradigms such as Data Fabric and Data Mesh. Familiarity with AI/ML platforms, semantic layer design, and distributed data architectures in cloud ecosystems
• 4 years’ experience with enterprise architecture frameworks (e.g. The Open Group Architecture Framework (TOGAF), Gartner or Zachman).
• 4 years’ experience working in or for the public sector.
• 5 years hands-on experience implementing data security and privacy controls, including policies, de-identification/anonymization, and data audits.
• 5 years hands-on experience implementing enterprise data strategy, governance, and secure data sharing frameworks. Includes data security and privacy controls, data classification, de-identification/anonymization, and data audits. Familiarity with Responsible AI principles (e.g., fairness, bias detection, explainability) and risk assessments with mitigation recommendations.
• 5 years work experience with Responsible AI principles (e.g., fairness, bias detection, explainability) and conducting risk assessments with mitigation recommendations for senior leadership.

Job Posting ID: 56846

Location: Edmonton, Alberta (Remote within Canada)

Estimated Starting Date: Jun 30, 2026

Estimated End Date: till Jun 30, 2027 + 1 pos. 12-months extension

Posting Closing Date: May 29, 2026

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