Senior Data Engineer

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