Senior Data Engineer – Data Products & Modeling

Role Overview

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics-ready. The role owns the full lifecycle of data products from translating business concepts into well-defined data models, to engineering pipelines that deliver curated, reusable, and trusted data products for analytics, reporting, and downstream integration.

What You Will Do

Partner with business stakeholders and analytics teams to define data products that align to business domains, use cases, and outcomes. Translate business requirements into well-defined data entities, relationships, and metrics, and engineer data products that implement those models end to end.

Why It Might Be a Fit

The ideal candidate is equally strong in data design, pipeline engineering, and product thinking, with a focus on delivering high-quality data as a product to consumers across the organization. Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• 8+ years of experience spanning data engineering and data modeling
• Strong hands-on experience with Databricks on Microsoft Azure or AWS
• Proven expertise with Erwin and/or PowerDesigner
• Solid understanding of data warehousing, dimensional modeling, and analytics design patterns
• Experience delivering data using data product–oriented approaches (curated layers, semantic models, governed datasets)
• Experience implementing CI/CD and DevOps for data platforms
• Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences

Benefits

• Comprehensive total rewards program
• Competitive salary range: $125,000 - $140,000 CAD annually