7/22/26
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Job Type: Permanent
Work Model: Hybrid
Reference code: 133809
Primary Location: Toronto, ON
All Available Locations: Toronto, ON
--What will your typical day look like?Delivery Leadership
• Lead end-to-end design and implementation of Microsoft Fabric-based data platforms (Lakehouse, Warehouse, OneLake).
• Architect and deliver data ingestion, transformation, and integration pipelines using Fabric, Azure Data Factory, Spark, and SQL.
• Drive data modeling and optimization across Bronze/Silver/Gold layers.
• Ensure high-quality delivery aligned to performance, scalability, and security expectations.
Technical Expertise
• Provide deep technical leadership across:
o Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Pipelines)
o Azure Data Services (ADLS Gen2, ADF, Synapse, Event Hubs)
o Power BI semantic models and reporting integration
• Guide best practices for CI/CD, DevOps, and environment management in Fabric.
• Support data governance and metadata management integration (e.g., Purview).
Client Engagement
• Act as a trusted advisor to clients on data platform strategy and Fabric adoption.
• Lead architecture discussions, workshops, and solution design sessions.
• Translate business requirements into scalable data solutions and roadmaps.
Team Leadership
• Manage and mentor a team of data engineers and senior consultants.
• Support hiring, onboarding, and capability building within the Fabric practice.
• Provide oversight on code quality, design patterns, and delivery standards.
Practice Development
• Contribute to development of Fabric accelerators, playbooks, and reusable assets.
• Support proposal development, estimations, and solutioning for new opportunities.
• Stay current with evolving Fabric capabilities and industry trends
About the teamWe are seeking an experienced Data Engineering Manager with deep expertise in Microsoft Fabric and Azure data platforms to lead the design and delivery of modern, scalable data solutions.
This role will combine hands-on technical leadership, team mentorship, and client engagement, supporting large-scale data modernization and analytics initiatives across industries.
Enough about us, let's talk about youRequired Skills:
• 6-10+ years of experience in data engineering / data platforms
• Proven experience delivering end-to-end data solutions on Azure
• Hands-on experience with:
o Microsoft Fabric (preferred) or Synapse / Databricks equivalents
o PySpark / Spark SQL, T-SQL
o Data pipeline orchestration (ADF / Fabric pipelines)
• Strong experience in data modeling, ETL/ELT, and large-scale data processing
• Experience leading teams or acting as a technical lead on engagements
Good to have:
• Experience with Microsoft Fabric Lakehouse/Warehouse architecture
• Familiarity with data governance tools (Purview, Collibra, etc.)
• Experience integrating Power BI with enterprise data platforms
• Certifications in Azure Data Engineering or Fabric
Key Attributes:
• Strong client-facing communication and leadership skills
• Ability to operate across hands-on delivery and strategic advisory
• Comfortable working in fast-paced, multi-project environments
• Passion for building and scaling modern data platforms
Total RewardsThe salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.
