senior information architect.

We are seeking a highly accomplished Senior Information Architect for an enterprise-level contract opportunity based in Toronto. In this role, you will take on a premier information architecture and business architecture leadership capacity, specializing in data modeling, target-state architectural frameworks, business process mapping, and AI-driven data analysis.

As a principal information architect, you will bridge the gap between strategic business goals, complex data governance baselines, and cloud-native technical architectures. Operating fully onsite in Toronto, you will provide expert guidance across information and business architecture domains, evaluate data modeling standards, design modular data mesh environments, and leverage AI capabilities to enhance analytics workflows. This position demands a seasoned architecture authority who can author enterprise architectural artifacts, lead complex system assessments, and guide projects through formal architecture governance reviews.

Location: Toronto, ON

Assignment Type: Onsite (5 days per week)

Contract Duration: 12-month contract

Advantages

AI-Centric Analytics Integration: Apply modern AI tools, prompt engineering, machine learning literacy, and automated ETL workflows to accelerate data insights.

Target-State Enterprise Architecture: Lead business and information architecture alignment using Target State Architecture (TSA) standards and enterprise governance frameworks.

Modern Data & Cloud Stack: Advance expertise in cloud-native architectures, Azure App Services, microservices, RESTful APIs, data mesh storage implementations, and omni-channel delivery patterns.

High-Visibility Governance Leadership: Direct architecture reviews, author formal information modeling artifacts, and steer solutions through enterprise architectural committees.

Responsibilities
Provide expert information architecture and business architecture advice, aligning processes, data structures, roles, and business goals with strategic organizational objectives.

Lead the design, development, and implementation of complex application data models, database structures, and enterprise business intelligence solution frameworks.

Integrate AI-driven analytics techniques, utilizing prompt engineering, machine learning literacy, generative AI summarization, and automated ETL data processing.

Design modular, composable application architectures and cloud-native solutions incorporating microservices, RESTful APIs, API management, and Azure App Services.

Implement data mesh patterns for distributed storage and design data ingestion strategies informed directly by downstream business consumption needs.

Utilize Computer-Aided Software Engineering (CASE) and architectural modeling tools such as PowerDesigner, Visio, and DevOps platforms to produce standard enterprise artifacts.

Author, review, and maintain formal architectural artifacts required to successfully navigate enterprise architecture governance review checkpoints.

Conduct in-depth application and information architecture reviews, gap analyses, and assessments for large-scale, integrated systems environments.

Facilitate interactive workshops with multi-disciplinary stakeholders to address technical architecture, security, privacy, and accessibility considerations.

Deliver technical documentation, process maps, target-state blueprints, and structured knowledge transfer to project teams and technical staff.

Qualifications
Core Technical & Information Architecture Requirements
Information & Business Architecture Experience: 3+ years of progressive leadership experience in application/database development and providing expert information and business architecture advice across enterprise initiatives.

AI-Driven Data Analytics: Demonstrated experience incorporating AI tools into data analysis workflows, including prompt engineering, machine learning literacy, generative AI data exploration, and automated ETL pipeline generation.

Enterprise Architecture Governance: Practical experience navigating public sector enterprise architecture governance committees, Target State Architecture (TSA) frameworks, and formal architectural review checkpoints.

Modeling & CASE Tools: Hands-on experience using CASE and diagramming tools (e.g., PowerDesigner, Visio) to build conceptual, logical, and physical data models.

Cloud & Data Mesh Architecture: Proven experience with cloud-native architectures, RESTful API management, microservice design, Azure App Services, and data mesh implementation practices.

Data Standards Expertise: Familiarity with enterprise information modeling standards, common data element models (Party LDM, Address LDM), and common data usage patterns.

Soft Skills & Leadership Attributes
Stakeholder Facilitation: Superior facilitation, negotiation, and process mapping skills to engage diverse business, IT, privacy, security, and accessibility leads.

Analytical Problem Solving: Outstanding analytical, critical thinking, and decision-making capabilities to resolve complex structural and data management challenges.

Communication & Presentation: Excellent written, verbal, and presentation skills to convey quantitative models and architecture blueprints clearly to executive leads and project squads.

Summary
If you're interested in the "Senior Information Architect" role based in Toronto, we encourage you to apply online at
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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