Senior Data Architect

Role: Data Architect - Senior (REMOTE) - JP937

! STRICTLY DO NOT APPLY IF YOU'RE NOT IN CANADA AND HAS NO WORK AUTHORIZATION !

! PLEASE READ BELOW ENTIRE MESSAGE !

(NOTE: We are considering Canadian Citizen and PR holders. For the candidate who are on Work Permits and awaiting PR invitation, we don’t provide T4 because this is contract job and the rate we provide is for incorporation. Hence, PR points are not applied, for example: if you’re applying PR under CEC class.)

Client: Government of Alberta

Contract length: 06/30/2026 to 06/30/2027 with a possible extension of 12 months

Incorporation Rate: $70 CAD/hr (Canada or Provincial incorporation is a MUST)

Respond by: 29-May-2026

Anticipated Interviews dates

• Interviews are expected to happen approximately 2 weeks after the posting closes; this is an estimate only.

Scoring Methodology:

Financial/Pricing: 20%

Resource Qualifications: 20%

Interview Process: 60%

SUBMISSION MUST INCLUDE:

• RESUME

• EACH JOB/PROJECT MUST CONTAIN THE TERM OF THE JOB/PROJECT IN THE FORMAT MMM/YYYY to MMM/YYYY. 

SKILL MATRIX:

MUST HAVE WORK EXPERIENCE:

3+ years of Experience dealing with clients and explaining complex data principles in a thoughtful manner.

5+ years of Experience in defining technical architecture, data integration, supporting software development, software configuration and deployment processes.

5+ years of 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 of Experience in multiple architecture domains e.g. business, application, technology, data/information, security, and privacy.

5+ years of Experience modelling complex business processes and translating them into understandable IT constructs.

5+ years of 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 of 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 of 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 of 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 of 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 of 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 of Experience developing and delivering training materials and enabling teams on data, analytics, and AI best practices, governance, and platform adoption.

5+ years of 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 of Experience with enterprise architecture frameworks (e.g. The Open Group Architecture Framework (TOGAF), Gartner or Zachman).

4+ years of Experience working in or for the public sector.

5+ years of Hands-on experience implementing data security and privacy controls, including policies, de-identification/anonymization, and data audits.

5+ years of 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 Description:

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.

[DUTIES]:

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

Equipment Requirements:

• Resource will require own equipment/laptop.

Working Hours:

• Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province

• Work must be done from within Canada, due to network and data security issues.

• It is anticipated the role will be 100% remote,

Notes on Location:

• Resource will work remotely.