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Data Engineer Data Science Manager

Senior Manager, Data Engineering & Services

Job in Vancouver, BC, Canada
Listing for: Canadian Cancer Society
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 110000 CAD Yearly CAD 90000.00 110000.00 YEAR
Job Description & How to Apply Below

Job Title: Senior Manager, Data Engineering & Services

Vacancies: This posting is for (1) new role.

Location: Vancouver, BC | Ottawa, ON | Toronto, ON | Calgary, AB | Halifax, NS | St John's, NL | Kelowna, BC| Prince George, BC | Victoria, BC | Montreal, QC (Detailed office location information can be found by visiting this link: )

Work Model: Hybrid Work Model

Salary Band: 6 ($90,000 - $110,000 CAD)

HELP SHAPE THE FUTURE OF CANCER CARE IN CANADA

The Canadian Cancer Society works tirelessly to save lives, improve lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research, we provide a caring support system for everyone affected by cancer and we advocate to governments to create a healthier future for all. It takes a society to take on cancer – and the Canadian Cancer Society is leading the way

MAKING AN IMPACT
Reporting to the Director, Data Strategy & Analytics, the Senior Manager, Data Engineering & Services is a hands-on data engineering leader responsible for building and advancing the organization’s data engineering, data services, and Dev Ops capabilities.

This role requires deep technical expertise to deliver scalable, automated, and maintainable data integrations, data services, and Dev Ops solutions using modern cloud technologies and platforms. You will also collaborate with business and technical teams to design and implement data solutions that adhere to security best practices, align with data governance standards.

Strong people leadership is essential as you will lead a team of Data Engineers and Specialists, oversee operational excellence, mentor team members, and coordinate work planning and execution.

You will manage enhancements and initiatives to ensure business goals are delivered on time, within scope, and aligned with organizational priorities.

You will play a key role in fostering a data-driven, innovation-focused engineering culture that leverages emerging technologies and modern design patterns to continuously improve how data is integrated, governed, and utilized across the organization.

WHAT YOU’LL BE DOING:

Technical Leadership:

  • Provide technical guidance and oversight for the design, development, and delivery of scalable, automated, and maintainable data integrations, pipelines, services and Dev Ops solutions
  • Define and implement robust solution architectures and designs for data integrations and services, ensuring scalability and maintainability.
  • Ensure engineering best practices, coding standards and quality processes are consistently applied across all data initiatives.
  • Drive adoption of modern technologies, cloud platforms and design patterns.
  • Foster a culture of innovation, ownership and engineering excellence

    • Team Management & Mentorship:

  • Lead and support a team of Analytics Specialists, Integration Engineers, Dev Ops Engineers, Data Engineers and QA Speciaists through effective planning, resource allocation, and performance management.
  • Coach, develop, and mentor team members while driving a culture of collaboration, knowledge sharing, and continuous learning.
  • Recruit, onboard, and grow talent through targeted training and development initiatives.

    • Project Delivery & Agile Practices:

  • Lead project delivery for enhancements and initiatives, ensuring business goals are achieved on time, within scope, and aligned with organizational priorities
  • Champion Agile best practices - sprint planning, backlog management, iterative demos, retro review sessions and cross-team collaboration
  • Partner with stakeholders to define requirements, manage risks, and ensure clear communication of progress, dependencies, and outcomes

    • Data Engineering & Services:

  • Design, develop, and maintain metadata-driven, performant and observable pipelines for data workflows, data analytics, and business intelligence using Microsoft Fabric and Azure platform technologies
  • Build and maintain data services to enable data-driven decision-making and workflow automation across the organization.
  • Implement scalable data transformation processes, ensuring reliability, efficiency, and maintainability
  • Work with…
    • Position Requirements
    10+ Years work experience
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