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Data Engineering Manager
Data Engineering ManagerSundial • Edmonton, Division No. 11, CA
Data Engineering Manager

Data Engineering Manager

Sundial • Edmonton, Division No. 11, CA
17 days ago
Job type
  • Full-time
Job description

Data Engineering Manager page is loaded## Data Engineering Managerlocations : Edmonton Corporate Office : Remote - Albertatime type : Full timeposted on : Posted Todayjob requisition id : R5015

  • Work Location
  • Edmonton Corporate Office
  • About the Role
  • ## The
  • Data Engineering Manager
  • leads and mentors a team of data engineers responsible for designing, developing, and delivering enterprise-grade, analytics-ready data products on Microsoft Fabric and Azure. This is a hands-on player-coach role, contributing directly to data architecture, modeling, and pipeline development while setting technical standards and best practices for the team. Reporting to the Director of Data & Analytics, this role owns key aspects of SNDL’s Azure- and Fabric-based data platform, supports the evolution of a data mesh approach, and ensures data products are trusted, well-governed, and aligned with business outcomes.## ## Key Responsibilities### Leadership & Team Development
  • Lead, mentor, and develop a team of data engineers delivering domain-owned data products.
  • Foster a culture of ownership, quality, and collaboration aligned with data mesh principles.
  • Define team goals, measure performance, and support career development.### ### Technical Strategy & Execution
  • Partner with the Director, Data & Analytics to define and execute SNDL’s Azure and Microsoft Fabric data architecture.
  • Own architectural decisions including Lakehouse vs Warehouse, ingestion vs shortcuts, and performance optimization.
  • Establish standards for data modeling (conceptual, logical, physical) to ensure consistency across domains and analytics use cases.
  • Define and enforce best practices for CI / CD, version control, environment separation (Dev / Test / Prod), testing, and monitoring within Fabric and Azure DevOps.
  • Design and implement scalable governance controls, including data catalogs, lineage, security, and access management.### ### Hands-On Data Engineering
  • Design and build Fabric Lakehouses and Warehouses using Medallion Architecture (Bronze / Silver / Gold).
  • Develop ingestion, transformation, and orchestration pipelines using Fabric Data Factory, Fabric Notebooks (Spark / Python), and T-SQL.
  • Implement OneLake-centric integration patterns, including Fabric Shortcuts for Dynamics 365 F&O, Dataverse, and other enterprise sources.
  • Lead and contribute to dimensional and analytical data modeling to support Power BI semantic models.
  • Act as a control owner for analytics data processes, ensuring compliance with internal controls, SOX, and audit requirements.### Collaboration
  • Work with the team’s business analyst, data product owners, and business stakeholders to translate requirements into technical deliverables and robust data products.
  • Develop and promote a self-service analytics culture by enabling business teams to easily access and use trusted data products.
  • Engage with application development teams to provision data products that serve SNDL’s application (ex. e-commerce) data needs.## ## Qualifications :
  • 5+ years in data engineering with at least 2+ years managing data engineering teams.
  • Proven experience designing and delivering enterprise-scale data platforms on Azure and Microsoft Fabric.
  • Hands-on expertise with Microsoft Fabric components (Lakehouse, Data Warehouse, Data Factory)
  • Strong SQL and Stored Procedure development skills and experience with medallion / layered architecture / data warehouse patterns.
  • Strong Azure DevOps skills to deliver CI / CD data pipelines with an emphasis on version control and segregation of duties pertaining to code promotion to production environments.
  • Experience integrating Fabric with enterprise systems such as Dynamics 365 F&O or similar ERP / CRM platforms.
  • Strong leadership skills with a track record of coaching and developing high-performing data engineering teams.
  • Knowledge of Power BI semantic models and report development.
  • Familiarity with governance tools, data catalogs, and lineage tracking in Fabric.
  • Experience operating in SOX-regulated or audit-driven environments.
  • As a valued member of the SNDL team, you will enjoy :
  • Competitive total compensation and incentives.
  • An extended benefits package including medical, health spending account and dental.
  • An entrepreneurial and innovative environment that fosters growth and continuous learning.
  • We are grateful for the interest in this role from all candidates, however we will be contacting only those that are selected for next steps in the hiring process.
  • Our Commitment to Diversity & Inclusion :
  • SNDL is an equal opportunity employer. We are committed to building a welcoming, inclusive, diverse, and safe workplace where all our team members have equal opportunity to succeed. We know this begins with recruitment. To honor our commitment, SNDL encourage applications from individuals from all backgrounds, sexual orientation, gender identity, ancestry, ages and abilities.
  • About SNDL
  • SNDL is one of Canada’s leading and fastest-growing liquor and cannabis companies. As the country’s largest private-sector retailer, our portfolio includes well-known banners such as Wine and Beyond, Liquor Depot, Ace Liquor, Value Buds, Spiritleaf, and Cost Cannabis.We’re also one of Canada’s largest vertically integrated cannabis producers, recognized for our innovation, low-cost manufacturing, and award-winning brands including Top Leaf, Contraband, Palmetto, Bon Jak, La Plogue, Versus, Grasslands, Vacay, Pearls by Grön, No Future, and Bhang Chocolate.Driven by purpose, performance, and people, SNDL is shaping the future of retail and cannabis by bringing people together through exceptional products and experiences.

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Data Engineering Manager • Edmonton, Division No. 11, CA

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