Manager, Analytics Engineering

Canadian Tire Financial Services; Toronto; On-site; CAD 79,000 - 131,000; Full time

Job summary

Canadian Tire Financial Services in Toronto is seeking a hands-on Manager, Analytics Engineering to lead the modernization of our data platform from Hadoop to Azure. You will build reusable, AI-enabled migration frameworks that accelerate workload assessment, code conversion, testing, and documentation with automated reconciliation and human approval for production cutovers.

You will lead data engineers and partner with architecture, analytics, security, infrastructure, and business teams to

Qualifications

• Progressive experience leading data-engineering teams and modernizing data platforms.
• Experience migrating Hadoop-based workloads to Azure.
• Strong knowledge of distributed data processing, data pipelines, and production operations.
• Experience embedding governance, privacy, and security controls in data platforms.

Responsibilities

• Lead end-to-end Hadoop-to-Azure migration, defining waves, cutovers, and rollback plans.
• Design and deliver secure, scalable batch and streaming data pipelines on Azure.
• Develop AI-enabled migration and data-engineering frameworks with automated testing and validation.
• Lead, coach, and deliver across internal teams and partners with clear roadmaps and milestones.

Skills

Data engineering

Cloud migration

Azure

AI-enabled migration

Data governance

Education

Bachelor’s degree in computer science, engineering, information systems, or a related discipline

Tools

Hadoop

Azure

CI/CD

Observability

Job description

Manager, Analytics Engineering# Careers## Manager, Analytics EngineeringApply: Toronto, ON: Full time: Posted Today: End Date: November 13, 2026 (13 days left to apply): JR159303**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 ResponsibilitiesHadoop-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 Rang**e: $79,000.00 - 131,000.00 CAD AnnualOur 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 requirementsThis 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.