Data Engineering Manager
SNDL Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Edmonton • Canada
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About the role
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringAzureMicrosoft FabricSQLStored Proceduresdata modelingCI/CDdata pipelinesdata transformationdata orchestration
Soft skills
leadershipmentoringcollaborationcoachingperformance measurementcommunicationteam developmentownershipquality assuranceproblem-solving