Lead Data Engineer

Takeaway • Rosser, MB

2d • CA$95,000 - CA$124,000 • Remote

About The Position

The Lead Data Engineer is a pivotal technical leadership role within the Canadian Data & Analytics (DNA) organization. You will own the design, development, and governance of CA's data infrastructure — with a primary mandate to build and optimize our semantic layer from scratch, establishing gold-tier data resources that serve as the single source of truth across the Canadian org. You will act as the technical bridge between Global DNA, Skip , Product and Platform Engineering, driving alignment on architecture standards, best practices, and data quality. This is not a heads-down engineering role — you'll be an active voice in shaping how we build and scale data products, while mentoring and elevating the engineers around you.

Requirements

• 6+ years in data engineering with a track record of leading architectural decisions for complex, large-scale data platforms.
• Expert-level proficiency in BigQuery, DBT, and Airflow, with the ability to defend choices and mentor others in modeling and orchestration.
• Deep understanding of dimensional modeling, semantic layer design, and medallion/lakehouse architecture patterns.
• Hands-on experience building and managing both batch and streaming pipelines, alongside familiarity with AWS data services (S3, Glue, Kinesis, RDS).
• Demonstrated experience establishing or contributing to organizational data governance and data quality frameworks.
• Exceptional technical communication skills, with a proven ability to translate complex architecture for stakeholders and raise the team's technical bar.

Nice To Haves

• Experience with Kafka, federated/hub-and-spoke organizational models, or high-velocity marketplace/food delivery platforms.

Responsibilities

• Architect the Semantic Layer: Lead the design and development of gold-tier DBT models and BigQuery resources to ensure a reusable, consistent, and governed data warehouse architecture.
• Provide Technical Leadership: Act as the senior technical authority on the team, partnering with the Senior Manager to shape the data engineering roadmap and architectural decisions.
• Bridge Global & Local Teams: Serve as the primary liaison between local and global engineering teams, translating global architecture patterns into local implementations.
• Drive Pipeline Excellence: Design, build, and optimize scalable, high-performance batch and streaming ELT pipelines using Airflow, DBT, and BigQuery.
• Advance Streaming Strategy: Support AWS-hosted production systems and spearhead the adoption of real-time ingestion patterns (e.g., Kafka, Datastream).
• Champion Data Governance: Establish robust data quality frameworks, testing standards, and observability practices to ensure enterprise-wide consistency and compliance.
• Mentor & Coach: Foster a culture of engineering excellence by mentoring data and analytics engineers, conducting code reviews, and driving continuous improvement.

Benefits

• Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
• Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
• Inclusion, Diversity & Belonging
• We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed