Manager Data Engineering

Description

The Manager, Data Engineering is responsible for developing and optimizing data platforms that power enterprise analytics and applications. Reporting to the VP of Business and Data Architecture, this role blends leadership with technical expertise—leading a team of data engineers while directly contributing to the design and delivery of scalable, high-quality data solutions. The Manager works closely with business stakeholders, architects, and cross-functional teams to ensure data is accessible, reliable, and aligned with organizational strategy.

Key Responsibilities

• Lead, mentor, and grow a team of Data Engineers, including recruitment, onboarding, performance management, and continuous skill development.
• Oversee the design, development, and optimization of data pipelines, architectures, and data sets for batch and streaming use cases.
• Collaborate with business units and analysts to gather requirements and translate them into scalable data solutions.
• Drive best practices in data modeling (conceptual, logical, and physical) to support analytics and reporting.
• Establish and maintain metadata standards, data cataloging, and lineage to improve data discovery and governance.
• Ensure timely delivery of projects by managing priorities, scope, and resources in an Agile framework.
• Partner with vendors and managed service providers as required to support delivery and operations.
• Define, track, and report on team KPIs such as data pipeline uptime, data freshness, and adoption metrics.
• Contribute to capacity planning, cloud cost optimization, and vendor performance review.
• Promote standardization and reusability of data models, pipelines, and integration approaches.
• Serve as a subject matter expert, communicating technical solutions to both technical and non-technical audiences.
• Maintain compliance with organizational standards for security, architecture, and development practices.
• Encourage experimentation with automation, AI / ML integration, and modern data engineering practices.
• Provide input into enterprise architecture and align data initiatives.

Skills, Knowledge & Expertise

GS1 Canada is committed to helping all employees, customers, stakeholders and subscribers in an effective and timely manner by preventing and removing barriers for persons with disabilities. Our policies and practices are intended to foster diversity, inclusiveness and accessibility, while also ensuring that the workplace is free from discrimination and harassment.