AI-Driven Analytics Engineering Manager (Azure)

Canadian Tire Financial Services

Toronto

On-site

CAD 79,000 - 131,000

Full time

4 days ago
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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

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

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