Martech Platform Engineer - 12- Months Contract

Canadian Tire; Toronto; On-site; CAD 85,000 - 139,000; Full time

Benefits offered by this job

Career growth opportunities

Product discounts

Mental health benefits

Flex benefits program

Job summary

Canadian Tire in Toronto, ON seeks a Martech Platform Engineer for a 12-month contract to design and operate enterprise-grade data pipelines and activation solutions within the Adobe Experience Cloud.

You will own AEP, AJO, and CJA deployments, build RTCDP capabilities, and collaborate with cross-functional teams to deliver personalized experiences, governance, and scalable data modeling.

Qualifications

• Bachelor's degree in a related field.
• 5+ years in data engineering, marketing tech, or CDP
• 2+ years hands-on with one or more Adobe platforms: AEP, AJO, CJA, or ADobe Real-Time CDP
• Strong SQL skills and experience with large-scale data
• Experience with ETL/ELT, API integrations, and enterprise data pipelines
• Familiarity with Adobe XDM and identity namespaces
• Exposure to cloud data platforms (Azure, Databricks, BigQuery) and scripting (Python/Java)
• Understanding of privacy and compliance frameworks including consent management

Responsibilities

• Design and configure solutions on AEP, AJO, and CJA
• Build and optimize AJO journeys and audience orchestration
• Develop scalable data pipelines for batch and near real-time ingestion
• Design and maintain XDM schemas and identity strategies
• Integrate AEP/AJO/CJA with CRM, data warehouses, and SDKs
• Monitor platform health and investigate data-quality incidents
• Apply data governance, privacy, and security standards
• Collaborate with marketing, analytics, architecture, and engineering teams
• Create and maintain runbooks and technical design documents

Skills

Data engineering

Adobe platform

SQL

ETL/ELT

API integrations

Python/Java

Education

Bachelor's degree

Tools

Adobe Experience Platform

Adobe Journey Optimizer

Customer Journey Analytics

Job description

Canadian Tire Corporation is on the lookout for a skilled Martech Platform Engineer to join their team in Toronto, Ontario on a 12-month contract. This is a technically demanding role at the intersection of data engineering, marketing technology, and customer data platforms - designed for someone who thrives on building sophisticated, enterprise-scale solutions within the Adobe Experience Cloud ecosystem.

Day-to-day, you'll be designing and supporting customer data and activation solutions using Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA). You'll collaborate closely with architecture, marketing, analytics, product, and engineering teams to deliver solutions that power personalization, segmentation, and reporting at scale.

About the Role: Martech Platform Engineer

This position spans four core areas: Adobe Platform Engineering, Data Engineering and Modelling, Integration Engineering, and Platform Operations and Governance. You'll be responsible for configuring and maintaining AEP, AJO, and CJA environments, implementing Real-Time Customer Data Platform (RTCDP) capabilities, and ensuring all platform configurations align with architectural standards and governance policies. You'll also build and optimize AJO journeys, event triggers, and audience-based orchestration, while supporting CJA data views, connections, and reporting structures.

On the data side, you'll design scalable batch and near real-time data pipelines, develop XDM schema designs, manage identity strategies, and ensure high-quality customer and event data through transformation, enrichment, and validation. You'll work with cross-functional teams to troubleshoot data ingestion, identity resolution, and profile fragmentation issues, while also maintaining operational documentation such as runbooks, data flow diagrams, and technical design documents.

Benefits and Salary

Canadian Tire offers a competitive hourly rate between $41.00 and $67.00 per hour for this role, with final compensation dependent on experience, skills, and market conditions. Beyond the pay, the company provides career growth opportunities and product discounts. For benefits-eligible employees, Canadian Tire also offers an enhanced flex benefits program that includes $5,000 per year in mental health benefits, as well as access to total well-being tools and resources. The company also offers the Canadian Tire Profit Sharing program and retirement and savings programs for eligible employees.

Job Details

Job Type: Full-Time Contract (12 Months)

Company: Canadian Tire

Location: Toronto, ON

Requisition ID: JR160816

Date Posted: September 14, 2026

Pay: $41.00 - $67.00 per hour (CAD)

Responsibilities

This role covers a broad and technically intensive scope. From building real-time data pipelines to orchestrating customer journeys and ensuring platform governance, the Martech Platform Engineer plays a central part in how Canadian Tire delivers personalized, data-driven experiences to its customers. Here's a breakdown of what you'll be doing:

• Design and configure solutions on AEP, AJO, and CJA, including RTCDP profile enablement, identity stitching, and audience activation
• Build and optimize AJO journeys, event triggers, decisioning inputs, and audience-based orchestration workflows
• Develop scalable data pipelines for batch and near real-time ingestion of customer, behavioural, and transactional data into Adobe Experience Platform
• Design and maintain XDM schemas, dataset structures, identity strategies, namespace mapping, and profile-enabled datasets
• Integrate AEP/AJO/CJA with upstream and downstream platforms including CRM systems, data warehouses, web and mobile SDKs, and marketing automation tools
• Monitor platform health, investigate incidents related to data quality, pipeline failures, and activation delays, and implement resolutions
• Implement data governance best practices including access control, privacy, consent management, and security standards
• Collaborate with stakeholders across marketing, analytics, architecture, and engineering teams to translate business requirements into technical designs
• Create and maintain operational documentation including runbooks, support procedures, data flow diagrams, and technical design documents

Requirements / Skills

The ideal candidate brings a strong mix of data engineering expertise and hands-on Adobe platform experience. Canadian Tire is looking for someone who can operate independently on complex integrations while also contributing effectively within a cross-functional agile team. Here's what you'll need to succeed:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field
• 5+ years of experience in data engineering, marketing technology, customer data platforms, or integration engineering
• 2+ years of hands-on experience with one or more Adobe platforms: AEP, AJO, CJA, or Adobe Real-Time CDP
• Strong SQL skills and experience working with large-scale customer and event datasets
• Experience with ETL/ELT, API integrations, and enterprise data pipelines including batch, streaming, and event-driven architectures
• Familiarity with Adobe XDM and identity namespaces (ECID, CRM ID, email, loyalty ID, etc.) as well as Adobe Data Collection, Web SDK, and Mobile SDK
• Exposure to cloud data platforms such as Azure, Databricks, or BigQuery, and scripting experience with Python or Java
• Understanding of privacy and compliance frameworks including consent management and data retention policies

5+ years of experience in data engineering, marketing technology, customer data platforms, or integration engineering; 2+ years of hands-on experience with one or more Adobe platforms such as Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), Customer Journey Analytics (CJA), or Adobe Real-Time CDP; strong experience with data integration, ETL/ELT, API integrations, and enterprise data pipelines; hands-on experience with schema design, identity resolution, profile-enabled datasets, and customer data modeling; strong SQL skills and experience working with large-scale customer and event datasets.