Martech Platform Engineer - 12- Months Contract

What you'll do

We are seeking an experienced Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA) Platform Engineer to design, build, and support customer data and activation solutions across the Adobe Experience Cloud ecosystem.

This role requires a strong foundation in data engineering, system integration, customer data platforms, and marketing technology platforms . The ideal candidate will have hands-on experience integrating enterprise data sources into AEP, enabling real-time customer profiles, supporting journey orchestration in AJO, and delivering insight-ready data models for CJA.

The Platform Engineer will work closely with architecture, marketing, analytics, product, and engineering teams to implement scalable, secure, and high-performing customer data solutions that support personalization, segmentation, activation, and reporting use cases.

Adobe Platform Engineering

Design, configure, and maintain solutions on Adobe Experience Platform (AEP) , Adobe Journey Optimizer (AJO) , and Customer Journey Analytics (CJA) .

Implement and support Real-Time Customer Data Platform (RTCDP) capabilities, including profile enablement, identity stitching, schema design, and audience activation.

Build and optimize AJO journeys , event triggers, decisioning inputs, and audience-based orchestration.

Support CJA data views , connections, derived fields, and reporting structures to enable business-friendly analytics and journey insights.

Ensure platform configurations align with architectural standards, governance policies, and business requirements.

Data Engineering & Data Modeling

Design and build scalable batch and near real-time data pipelines for ingesting data into Adobe Experience Platform.

Develop and maintain XDM schema design , dataset structures, identity strategies, namespace mapping, and profile-enabled datasets.

Perform data transformation, enrichment, validation, and standardization to ensure high-quality customer and event data.

Enable ingestion of customer, behavioral, and transactional data from multiple enterprise systems into AEP.

Support troubleshooting of data ingestion, schema validation, identity resolution, and profile fragmentation issues.

Integration Engineering

Integrate AEP/AJO/CJA with upstream and downstream platforms such as:

CRM systems

Data warehouses / data lakes

Web and mobile SDKs

Marketing automation and messaging platforms

Cloud storage and API-based systems

Build and support API-based, file-based, streaming, and ETL/ELT integrations across Adobe and enterprise platforms.

Collaborate with source system teams to define ingestion patterns, mapping logic, data contracts, and reconciliation processes.

Support event collection and forwarding through Adobe Data Collection / Tags / Web SDK / Mobile SDK / Datastreams where applicable.

Enable outbound integrations for audience activation, journey execution, and analytics consumption.

Platform Operations & Governance

Monitor platform health, ingestion jobs, profile processing, audience evaluation, and journey execution.

Investigate and resolve incidents related to data quality, pipeline failures, integration issues, and activation delays.

Implement best practices for data governance, access control, privacy, consent, and security .

Create and maintain operational documentation including runbooks, support procedures, data flow diagrams, and technical design documents.

Partner with architecture and governance teams to ensure compliant use of customer data and platform features.

Collaboration & Delivery

Work closely with business stakeholders, campaign teams, architects, analysts, and external implementation partners.

Translate business requirements into scalable technical designs and implementation plans.

Participate in backlog grooming, solution design sessions, testing, release deployment, and post-production support.

Provide technical guidance on platform capabilities, design trade-offs, and implementation best practices.

Support user acceptance testing, production validation, and knowledge transfer to support teams.

What you bring

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering , or 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 such as:

Adobe Experience Platform (AEP)

Adobe Journey Optimizer (AJO)

Customer Journey Analytics (CJA)

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.

Good understanding of batch, streaming, and event-driven data architectures .

Experience working with cloud data platforms, warehouses, or distributed data systems.

Strong problem-solving skills with the ability to troubleshoot complex data and integration issues.

Experience collaborating in cross-functional, agile delivery teams.

Experience implementing or supporting Adobe RTCDP use cases such as audience creation, activation, and profile stitching.

Hands-on experience with AJO journey orchestration , event-based journeys, and triggered communications.

Experience with CJA reporting models , connections, data views, and calculated metrics/derived fields.

Familiarity with Adobe Experience Data Model (XDM) and Adobe identity namespaces such as ECID, CRM ID, email, loyalty ID, etc.

Experience with Adobe Data Collection , Web SDK , Mobile SDK, and Datastream configurations.

Exposure to data platforms such as Azure, Databricks, BigQuery , or similar ecosystems.

Experience with scripting or programming languages such as Python , Java .

Understanding of privacy, consent management, data retention, and compliance frameworks.

Experience with DevOps, CI/CD, release management, and production support processes.

Technical Skills

Adobe Experience Platform (AEP)

Adobe Journey Optimizer (AJO)

Customer Journey Analytics (CJA)

Adobe RTCDP

XDM Schema Design

Identity Service / Namespace Strategy

Real-Time Customer Profile

Audience Segmentation & Activation

Adobe APIs / Streaming / Batch Ingestion

SQL

ETL / ELT

Data Mapping & Transformation

API Integration

Cloud Data Platforms

Web / Mobile Event Collection

Data Governance & Access Controls

Monitoring & Incident Support

We’re always looking for great talent! In addition to competitive pay, we offer:

Career growth opportunities and product discounts

Our typical hiring range is between $41.00 per hour and $67.00 per hour. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

#LI-GT1

This posting represents an existing vacancy within our organization.

We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work