Enterprise Data Architecture & Activation Lead in Toronto

Enterprise Data Architecture & Activation Lead in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data architecture initiatives and map data flows for informed decision-making.
  • Company: Join Canadian Tire Corporation, a leading retail company in Toronto.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and teamwork.
  • Why this job: Make a significant impact by modernizing enterprise data capabilities.
  • Qualifications: Experience in data architecture and strong collaboration skills.

The predicted salary is between 135000 - 165000 $ per year.

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.

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Enterprise Data Architecture & Activation Lead in Toronto employer: Canadian Tire Corporation

At Canadian Tire, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Data Strategy and Activation Manager, you will have access to extensive professional development opportunities, competitive benefits, and the chance to make a significant impact in a company that values data-driven decision-making. Located in a vibrant community, our team is dedicated to enhancing data capabilities while supporting your growth and success in a meaningful role.

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Contact Details:

Canadian Tire Corporation Recruitment Team

We think you need these skills to ace Enterprise Data Architecture & Activation Lead in Toronto

Data Architecture
Data Modeling
Data Governance
Data Engineering
Analytics Collaboration
Enterprise Data Modernization
Semantic Layer Development