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Retail Solution Architect
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-07-18
Listing for:
Canadian Tire Corporation, Limited
Full Time
position Listed on 2026-07-18
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
Job Summary
Number of Openings: 4. We’re looking for multiple Retail Solution Architects to design and govern end-to-end solutions across the retail value chain—Supply Chain & Logistics, Store Technology, Merchandising, eCommerce/Digital, and enabling capabilities including AI/ML, data platforms, integration, and cloud. You will translate business outcomes into secure, scalable, and resilient architectures, partnering closely with product, engineering, data, security, and operations teams.
Responsibilities Architecture & Solution Design- Lead solution architecture for initiatives across supply chain, stores, merchandising, and digital platforms.
- Produce and maintain architecture deliverables: high-level designs, integration flows, sequence diagrams, data flows, NFRs, deployment views, and architecture decision records (ADRs).
- Define target-state architectures and transition roadmaps aligned to enterprise standards.
- Ensure solutions meet non-functional requirements: availability, performance, resiliency, scalability, security, and operability.
- Design solutions across domains including Supply Chain & Logistics (demand planning, replenishment, inventory visibility, WMS/TMS integration, ASN, yard management, DC automation, last-mile), Store Technology (POS, store inventory, handhelds, RFID, edge solutions, offline/nearline patterns, store networking), Merchandising (PIM, pricing & promotions, assortment planning, vendor onboarding, space/category analytics), Digital & Omnichannel (eCommerce, order management, fulfillment orchestration [BOPIS/ship-from-store], returns, customer identity).
- Architect cloud-first solutions using Azure and/or Google Cloud architecture best practices.
- Architect enterprise integration using APIs, event-driven patterns, streaming, and batch.
- Partner with data and AI teams to enable AI/ML lifecycle architecture (training pipelines, deployment patterns, inference), GenAI-enabled use cases with responsible AI guardrails, and advanced decisioning for forecasting, pricing, inventory, personalization, and fraud.
- Promote strong data architecture practices: domain-aligned models, master/reference data, lineage, and privacy.
- Participate in and lead architecture reviews; provide guardrails without slowing delivery.
- Define and promote reusable reference architectures and patterns.
- Ensure secure-by-design and operationally ready solutions in partnership with security and SRE teams.
- Mentor engineers and analysts; contribute to architecture and engineering communities of practice.
- Work with Product, Engineering, and Business leaders to shape solution options and trade-offs.
- Clearly communicate architectural intent, risks, and decisions to both technical and non-technical audiences.
- Act as a trusted advisor during delivery and planning.
- Required experience:
7+ years in technology with 3+ years in solution or technical architecture roles. - Experience delivering solutions across retail platforms (supply chain, stores, merchandising, and/or digital).
- Strong experience with API-led and event-driven integration architectures.
- Hands‑on experience with cloud platforms (Azure and/or GCP) including networking, identity, and deployment models.
- Strong understanding of security, resiliency, performance, and observability.
- Strongly preferred:
Experience with retail enterprise platforms such as OMS, POS, WMS/TMS, ERP, PIM, pricing or promotion engines. - Data platform and analytics architecture experience (lakehouse/warehouse patterns, streaming).
- AI/ML or GenAI architecture exposure, including deployment, monitoring, and responsible AI considerations.
- Store edge computing or offline-first architecture experience.
- Architecture modeling (C4, UML, sequence/data flows, domain models).
- Strong analytical thinking and decision-making.
- Clear, concise written and verbal communication.
- Competitive pay.
- Comprehensive benefits and retirement programs.
- Performance incentives.
- Continuing education programs.
- Other perks to support your well-being.
- Career growth opportunities and product discounts.
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