SENIOR DATA ARCHITECT (OneData Alberta and Crosswalk – 2 Resources Required)
Requisition #: R26-3522 (GOAPRDJP00000937)
Location: Remote (within Canada)
Engagement Type: Contract
Number of Resources required: 2
Rate (CAD): Up to $110.00 per hour / Commensurate with related experience and market competitiveness
Term: 12 months (2026-06-30 to 2027-06-30) with 12-month extension available (up to 24-month contract)
Hours per day: 7.25
Security Screening: Standard (Criminal Record Check)
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Tri-global Solutions Group Inc. is seeking two (2) Senior Data Architect (OneData Alberta and Crosswalk) to join our Service Delivery team with the Ministry of Technology and Innovation (Government of Alberta).
WORK MODEL: The successful candidate(s) will work primarily remotely; however, may be required to attend meetings or work sessions in office (Edmonton, AB) on reasonable notice (onsite attendance unlikely for out-of-province contractors). It is anticipated the role will be 100% remote. Work must be done from within Canada, due to network and data security policies. Standard Hours of work are 08:15 – 16:30 Alberta time. Any travel will be at the Contractor’s own expense and at no cost to the Province.
Please review the project overview and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting.
If you know other consultants who may be interested in this opportunity kindly share this job posting.
Thank you.
Tri-global Solutions Group Inc.
Website: https://tri-global.com
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PROJECT OVERVIEW
Project Name:
One Data Alberta Program and Crosswalk
Scope:
The Data Centre of Excellence (DCoE) requires a Senior Data Architect to support the delivery of key roadmap items for the OneData Alberta and Crosswalk initiatives.
The Government of Alberta’s approach to OneData Alberta and Crosswalk initiatives is enabled through a cloud-based and on-premise Data Fabric and/ Data Mesh framework for organizing, managing, and delivering enterprise data assets. The DCoE is responsible for delivering high-value data assets and services—such as analytical models, dashboards, and visualizations—to support critical analytical, policy, and legislative functions. This role is essential to ensuring these data assets are architected, governed, and delivered in a scalable, secure, and sustainable manner.
This position provides senior-level architectural leadership and strategic direction across the OneData Alberta and Crosswalk 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.
DESCRIPTION OF SERVICES
General Responsibilities (any or all):
Architecture & Strategy Leadership
- Lead the design and delivery of enterprise and solution architecture for data platforms, AI-enabled data products, and data integration solutions across platforms such as Snowflake, Microsoft Azure, and Cloudera
- Provide architectural guidance in cloud environments, including solution design for AI-enabled data products, agentic frameworks, secure data sharing frameworks, and data linkage capabilities
- Define and govern enterprise data models, architecture standards, and best practices
- Translate business strategies and priorities into scalable, secure, and high-performing data architecture solutions
- Provide thought leadership in Data Management, Analytics, and AI-driven architecture
Data Platform & Product Enablement
- Support the design, development, and delivery of data products within Data Fabric and/or Data Mesh frameworks across Snowflake, Microsoft Azure, and Cloudera environments
- Guide the implementation of data linkages, crosswalk frameworks, integration patterns, and secure data sharing frameworks to enable consistent, governed, and reliable data exchange
- Establish frameworks for data quality, metadata management, and AI-enabled data assets
- Contribute to the design of semantic layers and data models that support reusable and interoperable data products
- Develop and validate proof-of-concept solutions, including data integration, orchestration, and AI-enabled and agentic use cases
Stakeholder Engagement & Advisory
- Lead workshops, discovery sessions, and stakeholder engagements to define and validate requirements and business value
- Provide architectural consultation and recommendations to leadership, project teams, and stakeholders
- Prepare and deliver presentations to steering committees and senior stakeholders
- Facilitate alignment and consensus on complex data, AI, and technology solutions across diverse stakeholder groups
Governance, Standards & Innovation
- Define and promote best practices in data governance, data sharing, secure data exchange, data integration, and data quality
- Support data modernization initiatives, including cloud adoption, platform transformation, and AI enablement across Snowflake, Microsoft Azure, and Cloudera
- Evaluate and recommend emerging technologies, including AI and agentic frameworks, to optimize data product delivery, interoperability, and cost efficiency
- Ensure alignment with enterprise priorities, including security, privacy, information management, data classification, and secure data sharing standards
Delivery Support & Collaboration
- Collaborate with data architects, engineers, scientists, and product teams to ensure consistent architecture and design across initiatives
- Review solution designs, data models, and pipelines across cloud and hybrid platforms, providing guidance on optimization, scalability, and performance
- Support the development of sustainable and scalable processes for data product delivery
- Manage tasks, track action items, and escalate risks or issues as required
- Coordinate inputs, approvals, and sign-offs across stakeholders and departments
Leadership & Organizational Enablement
- Coach, mentor, and support team members in developing innovative data and AI-driven solutions
- Promote a client-centric, service-oriented delivery approach
- Foster a culture of innovation, continuous improvement, and data as a strategic asset
- Build and maintain strong relationships with internal and external stakeholders
Deliverables
- Architecture designs, models, and recommendations aligned with project and enterprise needs
- Data product, AI solution, and platform design artifacts across Snowflake, Microsoft Azure, and Cloudera
- Proof-of-concept implementations, including AI-enabled and agentic use cases, and technical assessments
- Documentation supporting data linkages, semantic layers, integration patterns, and secure data sharing frameworks
- Weekly and monthly status reports
- Additional deliverables as defined by project and client teams
MANDATORY SKILLS
– 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. (Yes or No)
– Experience dealing with clients and explaining complex data principles in a thoughtful manner. (3 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 an environment equivalent in size and complexity to the Government of Alberta. (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. (5 years+)
DESIRABLE / NICE TO HAVE SKILLS
– 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. (5 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. (3 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. (5 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. (4 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. (5 years+)
NOT FOR YOU?
Check out our other opportunities at https://tri-global.com or follow us on LinkedIn. We thank all candidates in advance. Only candidates selected for an interview will be contacted.
WHY WORK WITH TRI-GLOBAL?
– Empower positive change by enabling our clients to revolutionize innovation and technology, elevating them to a higher level of excellence and efficiency.
– Join an exceptional and committed team that redefines the landscape, forging a distinctive path towards success.
– Engage in stimulating and captivating projects that push boundaries and keep you constantly motivated.
