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Added just now
AS
Data & Analytics Solutions Architect
Apex Systems
Mississauga, ON
- $45 to $50 USD / hour
- Contract
Experience designing solutions across cloud data platforms such as Azure, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
Added just now
AS
Lead FinOps Analyst: Cloud, Network & Infrastructure
Apex Systems
Mississauga, ON
- $100 to $101 USD / hour
- Contract
McKesson is seeking a **Lead FinOps Analyst: Cloud, Network & Infrastructure** to own financial and consumption outcomes across its Cloud, Network, and Infrastructure services. This…
Added just now
GT
Account Executive
Greenlight Tech Staffing
Mississauga, ON
- Full-time
…and advisory partner helping organizations deliver complex Cloud, Data, Security, and AI programs. The company operates between traditional staffing and strategy consulting, working closely…
Added just now
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Manager Software Engineering
PointClickCare
Mississauga, ON
- $152,000 to $174,000 CAD / year
- Full-time
…make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and…
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AS
Senior Technical Business Analyst – CABL Initiative
Apex Systems
Montreal, QC
- $70 to $71 USD / hour
- Contract
Experience supporting data warehouse, reporting, analytics, or cloud data-platform initiatives, including Snowflake or a comparable platform.
Added just now
A
DevSecOps Engineer
Aviso
Vancouver, BC
- $120,000 to $130,000 CAD / year
- Full-time
Champion continuous improvement initiatives, identifying opportunities to reduce friction, improve predictability, and enhance developer experience across the software delivery lifecycle
Added just now
ML
IT Security Consultant
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Part-time
Do you live and breathe cyber security? Are you passionate about keeping your workplace, data and operations safe? If this sounds like you, we have an opportunity for you. Maple Leaf Foods…
Added just now
ML
Senior Analyst Identity and Access Management
Maple Leaf Foods Inc
Mississauga, ON
- $77,000 to $112,000 CAD / year
- Part-time
…across a complex hybrid environment that includes corporate, cloud, and business-critical operational…
Added just now
EP
Digital Marketing Lead
Earthscape Play
Elmira, ON
- Full-time
…organizational rigor to manage digital platforms, turn performance data into decisions, and keep marketing projects moving seamlessly from concept to…
Added 15 mins ago
A
SMB Renewals Specialist (Outbound Sales Representative)
Accenture
St. Catharines, ON
- Full-time
Added 15 mins ago
A
Talent Management Consultant
Accenture
Calgary, AB
- Full-time
…management skills. Your expertise is in advising clients on data-driven strategies to transform their organizations so they can crush their strategic, financial, and operational goals. As a…
Added 15 mins ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 15 mins ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
…context packing, and integrates frontier models with enterprise data to automate high-stakes M&A…
Added 15 mins ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
At PwC, our people in Data Enablement consulting help organizations unlock value from their data through strategy, governance, analytics, cloud modernization, and AI transformation. We work…
Added 15 mins ago
T
Senior Information Security Analyst - Detection Engineering
TD
Toronto, ON
- Full-time
…detection engineering. They should be comfortable working with SIEM data, investigating suspicious activity, improving detection quality, and applying broad cybersecurity knowledge across…
Added 29 mins ago
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Senior DevOps Developer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
The Senior DevOps Developer will serve as a subject matter expert in Data platform operations and will collaborate closely with data engineering, analytics, data science, and product teams…
Added 29 mins ago
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AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
BGS Digital Services delivers software, data products and platform solutions that enable commercial aviation around the world. As the AI Development Manager, you will join a diverse,…
Added 30 mins ago
SH
Manager, Analytics, Revenue, and Software Development
Scarborough Health Network
EO Head Office
- Full-time
Experience with Microsoft Fabric, Power BI, Azure or similar cloud data platforms is an asset
Added 30 mins ago
S
Systems Analyst III
Seaspan
North Vancouver, BC
- Full-time
Maintains strong functional knowledge of Finance, Accounting, and Oracle Fusion Cloud by developing an in-depth understanding of business processes, application configurations,…
Added 30 mins ago
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Directeur(trice) / Director - Digital Platforms & Delivery Excellence
Genetec
Montreal, QC
- Full-time
…matière de qualité logicielle, d'automatisation, de plateformes cloud et de pratiques de…
Added 30 mins ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc.
Brampton, ON
- Contract
Set up and maintain secure connections between cloud environments, data centres and our offices and terminals, using site-to-site VPN, Cloud Interconnect, ExpressRoute or Direct Connect.
Added 30 mins ago
BR
Senior Systems Testing / QA Specialist – ETL & Data
BITS Recruiting
Toronto, ON
- $70 to $73 CAD / hour
- Contract
We are seeking an experienced Senior Systems Testing / QA Specialist to support a data-focused project involving data validation, ETL testing, and Monitoring & Evaluation reporting. The…
Added 30 mins ago
PC
Full Stack Developer (Backend-Focused)
Parabellyx Cybersecurity
Richmond Hill, ON
- Full-time
About the roleParabellyx Cybersecurity is hiring a mid-to-senior Full Stack Developer, weighted toward the backend, to build and run the data and scanning engine behind Luma. You will own…
Added 30 mins ago
QT
Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $70 to $90 CAD / hour
- Contract
- Automate the collection and analysis of infrastructure performance data during testing cycles.
Added 30 mins ago
G
Développeur(euse) logiciel / Software Developer - Edge Platform (Edge OS)
Genetec
Quebec, QC
- Full-time
We are looking for a Software Developer to help build the next generation of Genetec Edge OS, our operating system for edge appliances, and its remote management ecosystem. You'll be part…

Canadian Tire Corporation

Manager, Analytics Engineering

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

What you’ll do :

We are seeking a hands-on, strategic Manager, Analytics Engineering to lead the modernization of enterprise data platforms from Hadoop to Microsoft Azure. A core mandate is to build reusable, AI-enabled frameworks that make migration, data engineering, and workload optimization as efficient and accurate as possible. This role will combine intelligent automation with rigorous validation to improve delivery speed, data quality, reliability, scalability, and cost efficiency.

The successful candidate will combine technical depth with strong people leadership and program execution. They will partner with architecture, analytics, security, infrastructure, and business teams to establish AI-enabled engineering and migration patterns, manage delivery risks, and build a sustainable Azure data platform. Frameworks must include measurable quality controls, traceability, and human review where needed to validate AI-generated outputs and manage exceptions.

Key Responsibilities

Hadoop-to-Azure Migration

Lead the end-to-end migration of data, pipelines, and workloads from Hadoop environments to Azure.

Define migration waves, priorities, dependencies, acceptance criteria, cutover plans, and rollback strategies.

Assess existing Hadoop jobs, datasets, integrations, and technical debt to determine whether workloads should be rehosted, refactored, rebuilt, retired, or consolidated.

Build reusable, AI-enabled migration frameworks to accelerate workload assessment, code conversion, test generation, and documentation, with automated reconciliation and human approval for production cutovers.

Coordinate data validation, parallel runs, production cutovers, decommissioning, and post-migration stabilization.

Data Engineering

Lead the design and delivery of secure, scalable, and maintainable batch and streaming data pipelines on Azure.

Build and maintain reusable, AI-enabled data engineering frameworks for pipeline development, code generation, automated testing, data-quality checks, and documentation; establish standards for source control, CI/CD, observability, and lineage.

Guide teams in designing reliable data models and curated data products that support analytics, reporting, and advanced use cases.

Partner with IT, architecture, governance, privacy, and security teams to embed controls throughout the data lifecycle, including approved AI tools, protection of sensitive data, traceability of AI-generated changes, and risk-based human review.

Workload and Job Optimization

Develop AI-assisted optimization frameworks to identify bottlenecks, recommend improvements, and automate repeatable tuning tasks; validate recommendations against runtime, throughput, accuracy, stability, resource utilization, and cloud-cost baselines.

Identify inefficient queries, data skew, partitioning issues, orchestration bottlenecks, unnecessary data movement, and failed-job patterns.

Establish performance baselines, service-level objectives, monitoring, alerting, capacity plans, and cost-management practices; measure framework effectiveness through delivery time, manual effort, data accuracy, defect rates, and processing cost.

Prioritize optimization opportunities using measurable business value, risk reduction, and total cost of ownership.

People Leadership and Delivery

Lead, coach, and develop data engineers and technical leads, building capability in responsible AI-assisted engineering and driving adoption of reusable frameworks, accountability, collaboration, and continuous improvement.

Translate the modernization strategy into clear roadmaps, delivery plans, resource needs, and team objectives.

Manage delivery across internal teams and external partners, proactively addressing scope, schedule, quality, risk, and dependencies.

Communicate technical decisions, migration progress, trade-offs, and outcomes to both technical and executive audiences.

What you bring:-

Progressive experience in data engineering, data-platform modernization, or cloud migration, including experience leading technical teams.

Demonstrated experience migrating Hadoop-based data and workloads to Microsoft Azure.

Strong knowledge of distributed data processing, data pipelines, orchestration, data modelling, storage patterns, and production operations.

Experience with relevant Azure data services and modern engineering practices, including building reusable AI-enabled frameworks for migration, pipeline development, testing, and optimization, with demonstrated ability to validate outputs and measure efficiency and accuracy gains.

Proven ability to tune data jobs, troubleshoot complex performance issues, and improve reliability and cloud cost efficiency.

Working knowledge of data governance, security, privacy, access controls, metadata, lineage, retention, and audit requirements.

Strong stakeholder management, communication, prioritization, and change-leadership skills.

Bachelor’s degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience.

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

Career growth opportunities and product discounts

Broadband Salary Range: $79,000.00 - 131,000.00 CAD Annual

Our typical hiring range is between $90,000.00 - 130,000.00 CAD per annum. 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

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 as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

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More about this job

Responsibilities

Lead the end-to-end migration of enterprise data platforms from Hadoop to Microsoft Azure while building AI-enabled frameworks for engineering and optimization. Manage delivery roadmaps, coach technical teams, and partner with cross-functional stakeholders to ensure scalable, secure, and cost-efficient data solutions.

Requirements

Requires progressive experience in data engineering, cloud migration, and technical team leadership, specifically with Hadoop-to-Azure transitions. Candidates must possess strong knowledge of distributed data processing, data modeling, and modern engineering practices alongside a relevant bachelor's degree.

Skills

Data engineering
Cloud migration
Microsoft Azure
Hadoop
Data pipelines
AI-enabled frameworks
Data modeling
Performance tuning
Data governance
CI/CD
Leadership
Stakeholder management
Automation
Data quality
Cloud cost management
Strategic planning

Benefits

Career growth opportunities
Product discounts
Profit sharing
Retirement and savings programs
Flex benefits program
Mental health benefits
Supported learning

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Hadoop
Microsoft Azure
Data Migration
AI-enabled frameworks
Data Engineering
Cloud Modernization
CI/CD
Data Pipelines
Performance Tuning
Data Governance
Data Modeling
Automation
Scalability
Cloud Cost Management
Technical Leadership
Stakeholder Management
Batch Processing
Streaming Data
Observability
Data Lineage
Security
Privacy
Technical Debt
Workload Optimization
Service-level objectives
Capacity Planning
Strategic Planning
Enterprise Data Platforms
Cloud Migration

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