IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 24, 2026

Hiring at a glance

View jobs

Open jobs: 2,670
Employers: 1,300

Advertised starting pay

Average starting payCAD / year: $99,378Across 252 listings
Average starting payCAD / hour: $47.40Across 83 listings
Average starting payUSD / year: $117,228Across 55 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%129 listings
Hybrid: 38%1,021 listings
On-site: 56%1,501 listings

Not specified: 1% (19 listings)

Employers hiring include RBC (56), Royal Bank of Canada (49), TD (47).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Senior Enterprise Information Data Architect (35902)
Myticas Consulting
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Contract
Senior Enterprise Information / Data Architect
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Myticas Consulting

Senior Enterprise Information Data Architect (35902)

Canada

Job type: Contract
Working hours: 37.5 hours per week
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Senior Enterprise Information / Data Architect

Location: Ottawa, ON preferred; Toronto, ON acceptable

Work Model: Hybrid – 3 days onsite per week (open to discuss)

Travel: Limited – potential travel between Ottawa and Toronto, approximately once per quarter

Contract: 15+ months, through December 31, 2027

Hours: 37.5 hours per week

Clearance: No existing security clearance required; successful candidate must be eligible to obtain the required clearance following an offer.

The Opportunity

We are seeking a Senior Enterprise Information / Data Architect to help shape and advance enterprise information management and data architecture within a large, complex organization.

This role requires someone who can bridge enterprise information architecture and practical data engineering. The ideal candidate will bring deep experience in enterprise data modelling, information architecture and Master Data Management (MDM) while also understanding how architecture translates into data engineering patterns, pipelines and modern data platforms.

This is not a website, application or infrastructure architecture role. The focus is enterprise information and data architecture.

What You’ll Do

Develop and maintain Enterprise Information Management frameworks, standards and roadmaps.
Create and manage conceptual and enterprise business information models that provide a future-state view of the organization's information landscape.
Define information architecture using metamodels, taxonomies, ontologies and information classification frameworks.
Establish and maintain representations of enterprise data assets, including data sources, structures, business glossaries, classifications, relationships and high-level data flows.
Support enterprise Master Data Management (MDM), metadata management, data integration, analytics and information management capabilities.
Translate enterprise information architecture into practical data treatment patterns, engineering approaches and data pipelines.
Work closely with data architects, engineers and other technical teams to ensure architecture can be implemented effectively.
Contribute to data modernization initiatives and evolving architectural approaches such as Data Mesh.
Partner with data, analytics, business and technology stakeholders to develop effective information governance processes and structures.
Lead discovery sessions to understand business data objectives, challenges and requirements.
Develop and maintain an enterprise information management vision, strategy and roadmap.
Promote the discoverability and self-service use of enterprise information assets.
Identify and recommend appropriate enterprise data solutions and capabilities.
Mentor data architects and promote consistent understanding and use of enterprise data assets.
Communicate complex information and data architecture concepts clearly to both technical and senior stakeholders.
Contribute to continuous improvement of data standards, architecture processes, tools and best practices.

What We’re Looking For

Required Experience

10+ years of relevant senior-level experience in enterprise information architecture, data architecture or closely related disciplines.
10+ years of experience with enterprise data modelling and information classification.
Significant experience developing and working with information architecture frameworks, information models, metamodels, taxonomies and ontologies.
Strong enterprise data modelling experience, including conceptual and future-state information models.
Strong understanding of Master Data Management (MDM) and enterprise information management.
Understanding of data engineering architecture, including data treatment patterns, integration approaches and data pipelines.
Experience developing enterprise-level data/information strategies, standards, frameworks and roadmaps.
Experience supporting information governance, metadata management, data integration and data discoverability.
Ability to translate business requirements and enterprise architecture into practical technical approaches.
Experience working with architects, engineers, technology teams, operations and business stakeholders.
Experience operating within large, complex enterprise environments.
Broad exposure to multiple technologies and environments rather than experience limited to a single platform or ecosystem.
Strong communication, stakeholder management, collaboration and mentoring capabilities.

Highly Desirable

Experience with data modernization and Data Mesh concepts.
Experience bridging enterprise information/data architecture and hands-on data engineering concepts.
Experience with capability modelling.
Experience within complex, highly regulated or large-scale organizations.
TOGAF certification or experience applying TOGAF principles.
MBA or related advanced education.

The Ideal Profile

The strongest candidate will combine two complementary areas of expertise:

Enterprise Information Architecture: Deep knowledge of enterprise data modelling, information models, MDM, metadata, classification, taxonomies, ontologies and long-term information architecture.

Technical Data Architecture: A strong understanding of how enterprise architecture translates into data engineering patterns, integration approaches, data treatment, pipelines and modern data platforms.

Candidates do not need to be hands-on data engineers, but they should be technically strong enough to work effectively with engineering teams and turn enterprise architecture into practical, implementable data solutions.

Additional Information

This is a senior individual contributor/architecture role working primarily with architects, engineers and technical stakeholders, with additional interaction with senior business stakeholders.

The successful candidate will join a complex enterprise environment undergoing continued evolution of its information management, data architecture and data modernization capabilities.

, Nick Theodossiou

Apply About employer

More about this job

Responsibilities

Develop and maintain enterprise information management frameworks, models, standards, strategies, and roadmaps, including capabilities for MDM, metadata, governance, integration, and data discoverability. Translate enterprise information architecture into implementable data engineering patterns and pipelines, collaborate with business and technical stakeholders, and mentor architects.

Requirements

Requires 10+ years of senior-level experience in enterprise information or data architecture, including enterprise data modeling, information classification, information architecture frameworks, and MDM. Candidates must understand data engineering patterns and pipelines, have experience with enterprise strategies and governance, and be able to communicate and collaborate across complex organizations.

Skills

Enterprise Information Architecture
Enterprise Data Modeling
Master Data Management
Information Classification
Metadata Management
Information Governance
Taxonomies
Ontologies
Data Integration
Data Engineering Architecture
Data Pipelines
Data Modernization
Data Mesh
Capability Modeling
Stakeholder Management
Mentoring

Visa sponsorship

Not detected in the job text

Hiring contact

Nick Theodossiou

Keywords

Enterprise Information Management
Enterprise Information Architecture
Data Architecture
Enterprise Data Modeling
Conceptual Information Models
Future-State Information Models
Master Data Management
Metadata Management
Information Classification
Metamodels
Taxonomies
Ontologies
Information Governance
Data Integration
Data Engineering
Data Treatment Patterns
Data Pipelines
Data Modernization
Data Mesh
Capability Modeling
Data Discoverability
Business Glossaries
Enterprise Architecture
TOGAF
Information Management Roadmaps

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