Senior Data Engineer

Overview

This is a hands‑on delivery role centered on legacy data platform migration and the implementation of a medallion (lakehouse) architecture
. The engagement is designed to demonstrate the technical fit and business value of Microsoft Fabric as the target platform for modernization.

• Lead the migration of a legacy data warehouse to Microsoft Fabric, including data store migration and implementation of a medallion (lakehouse) architecture
• Conduct a Microsoft Fabric fitment assessment, addressing technical considerations such as wide tables, long column names, data‑type mapping, performance SLAs, and security/privacy alignment
• Define and propose the target cloud architecture, including lakehouse and/or warehouse patterns, operating model implications, and clear roles and responsibilities
• Develop a migration roadmap covering data store migration and inbound/outbound data orchestration
• Execute core data engineering work to deliver a Proof of Value / MVP in close collaboration with customer engineering teams

• Proven, hands‑on experience migrating legacy data platforms or data warehouses to Microsoft Fabric
• Strong expertise across Microsoft Fabric capabilities, including Lakehouse, Warehouse, One Lake, medallion architecture, Spark/notebooks, and data pipelines
• Deep understanding of schema and data‑type translation, including large‑scale and wide‑table scenarios
• Ability to engage directly with customer stakeholders and produce architecture and migration roadmap deliverables
• Toronto‑based (local presence required)

• Direct experience migrating from Sybase to a modern cloud data platform
• Experience delivering customer‑facing Proof of Value or MVP engagements
• Familiarity with enterprise data governance, security, and privacy frameworks