Cloud Data Platform Engineer – Canadian Tire – Toronto, ON

Canadian Tire Corporation is looking for a Cloud Data Platform Engineer to join their team in Toronto, Ontario. This is a senior, hands-on engineering role at the heart of Canadian Tire’s Data, Analytics, and AI strategy — giving you the opportunity to shape the cloud platform infrastructure that powers one of Canada’s most recognized retail organizations.

You’ll be working across a modern stack that includes Microsoft Azure, Databricks, Unity Catalog, and Azure Synapse Analytics, designing and building the platform capabilities that enable secure, scalable, and cost-effective data and AI workloads across the enterprise. If you thrive in a technically complex environment and take pride in building things the right way — this one’s worth a look.

About the Role: Cloud Data Platform Engineer

At its core, this position is about engineering the backbone of Canadian Tire’s cloud data ecosystem. You’ll design, build, deploy, and support enterprise cloud platform capabilities within Azure, with a heavy focus on Infrastructure-as-Code using Terraform, CI/CD pipeline development through Azure DevOps, and PowerShell automation. The work spans reusable module development, standardized deployment patterns, and operational tooling that helps the broader team move faster and more reliably.

Beyond the hands-on engineering work, you’ll also provide technical oversight across cloud engineering deliverables — conducting code reviews, establishing quality gates, and coaching junior and intermediate engineers. You’ll collaborate closely with architects, data engineers, security, infrastructure, and product teams, and be expected to communicate technical risks, dependencies, and recommendations clearly to both technical colleagues and business stakeholders. A continuous improvement mindset and strong communication skills are just as important as your technical toolkit in this role.

Benefits and Salary

Canadian Tire offers a broadband salary range of $64,000 – $106,000, with a typical hiring range between $64,000 and $85,000. Compensation decisions take into account your experience, internal equity, industry benchmarks, and the unique value you bring to the role. In addition to competitive pay, the company provides comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, product discounts, and other perks to support your overall well-being. Eligible employees also have access to mental health benefits of $5,000 per year as part of the enhanced flex benefits program, along with Canadian Tire Profit Sharing and retirement and savings programs.

Responsibilities

This role covers a wide range of engineering and leadership activities, from writing Terraform modules to facilitating cross-functional technical sessions. Day-to-day, you’ll be expected to deliver high-quality, production-grade platform work while also helping to raise the engineering bar for the team around you. Collaboration, technical rigour, and operational ownership are central to how success is measured in this position.

• Design and build enterprise cloud platform capabilities within Microsoft Azure to support secure and scalable data, analytics, machine learning, and AI workloads
• Develop and maintain Infrastructure-as-Code solutions using Terraform, including reusable modules, standardized deployment patterns, and automated provisioning
• Build automation scripts, deployment pipelines, platform services, and operational tooling to reduce manual effort and improve efficiency
• Create and optimize automation solutions using PowerShell, Azure DevOps, and cloud-native tools
• Design and maintain Azure DevOps CI/CD pipelines supporting cloud infrastructure and platform service deployments
• Establish branching strategies, Git-based workflows, pull request practices, and release management standards across the team
• Conduct code reviews of Terraform modules, automation scripts, and deployment pipelines, ensuring quality, security, and maintainability standards are met
• Engineer and support platform capabilities across Azure Databricks, Unity Catalog, Azure Synapse Analytics, and related data governance services
• Lead technical working sessions to review designs, resolve blockers, and align teams on delivery plans
• Identify and communicate technical risks, dependencies, and path-forward recommendations to delivery teams and leadership
• Support monitoring, incident resolution, root cause analysis, disaster recovery, and operational improvement activities
• Coach junior and intermediate engineers by promoting best practices, reusable patterns, and a continuous improvement mindset
• Create and maintain technical documentation, runbooks, implementation guides, and knowledge-sharing materials

Requirements / Skills

Canadian Tire is looking for a technically strong, collaborative engineer who brings both deep hands-on cloud expertise and the communication skills to work effectively across teams and stakeholder groups. You should be comfortable operating with a degree of ambiguity, driving work forward independently, and mentoring others along the way.

• 5–8+ years of experience in Cloud Engineering, Platform Engineering, DevOps, Infrastructure Engineering, or related disciplines
• Strong hands-on Terraform skills, including reusable module development, state management, secure deployment patterns, and infrastructure-as-code best practices
• Advanced PowerShell experience for building automation solutions in cloud environments
• Hands-on Azure DevOps experience, including Git workflows, branching strategies, CI/CD pipeline design, and release management
• Experience with Azure data platform technologies such as Databricks, Unity Catalog, and Synapse Analytics is preferred
• Strong understanding of cloud networking, identity and access management, security, monitoring, observability, and disaster recovery concepts
• Demonstrated ability to conduct code reviews and ensure engineering deliverables meet quality, security, and operational readiness standards
• Strong communication skills — able to explain technical details, risks, and recommendations to both technical and non-technical stakeholders
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline is preferred; equivalent combinations of education and practical experience may be considered
• Certifications in Azure, Terraform, Databricks, DevOps, or related areas are considered an asset
• Experience in retail, data platform, analytics, or enterprise cloud environments is an asset

How to Apply

To apply, visit the official job posting using the link below. Make sure your resume is up to date and tailored to highlight your cloud engineering experience before submitting.

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