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.

Key Responsibilities 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

Required Qualifications Proven, hands‑on experience migrating legacy data platforms or data warehouses to Microsoft Fabric Strong expertise across Microsoft Fabric capabilities, including Lakehouse, Warehouse, OneLake, 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)

Preferred Qualifications 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

Requirements 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.

Key Responsibilities 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

Required Qualifications Proven, hands‑on experience migrating legacy data platforms or data warehouses to Microsoft Fabric Strong expertise across Microsoft Fabric capabilities, including Lakehouse, Warehouse, OneLake, 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)

Preferred Qualifications 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