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Senior Enterprise InformationData Architect

Job in Toronto, Ontario, C6A, Canada
Listing for: Myticas Consulting Inc.
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    Data Engineering, Information & Knowledge Management, Data Warehousing, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 140000 - 190000 CAD Yearly CAD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Senior Enterprise InformationData Architect (35902)

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 meta models, 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, meta models, 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…
Position Requirements
10+ Years work experience
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