Enterprise Data Architecture & Activation Lead

Canadian Tire Corporation; Toronto; Sur place; CAD 80 000 - 131 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits

Retirement programs

Performance incentives

Continuing Education

Product discounts

Résumé du poste

Canadian Tire Corporation, based in Toronto, is seeking a Senior Data Architect to bridge business strategy with data delivery across platforms. You will map end-to-end data flows, define data models, and partner with governance, engineering, and analytics teams to enable informed decisions.

In this role you will drive enterprise data capability modernization, establish semantic layers and data products, and ensure scalable, trusted assets for enterprise KPIs and initiatives.

Qualifications

• 7+ years in Data Architecture, Information Architecture or related field.
• Strong knowledge of data flows, lineage, metadata, semantic models.
• Experience with cross-functional teams across business and tech.
• Familiarity with cloud analytics platforms and data governance.
• Ability to translate complex tech into business language.

Responsabilités

• Define and maintain enterprise data architecture for priority domains.
• Map end-to-end data flows from source systems to consumption.
• Identify authoritative sources and document data lineage.
• Support ontology and semantic-model development with business and tech teams.
• Link KPIs to underlying data structures and metrics.
• Assess impacts of data, platform, and process changes.
• Create conceptual/logical data models and data products.
• Collaborate on data capabilities for major business initiatives.

Connaissances

Data architecture

Information architecture

Data modeling

Enterprise data flows

Metadata/semantic models

Cloud platforms

Stakeholder management

Translate tech to business

Data modernization

Outils

Databricks

Azure

Fabric

Power BI

GCP

Description du poste

Canadian Tire Corporation, based in Toronto, is seeking a Senior Data Architect to bridge business strategy with data delivery across platforms. You will map end-to-end data flows, define data models, and partner with governance, engineering, and analytics teams to enable informed decisions.

In this role you will drive enterprise data capability modernization, establish semantic layers and data products, and ensure scalable, trusted assets for enterprise KPIs and initiatives.