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iLink Digital
Senior Data EngineeriLink Digital • Ontario Centre (Queensville), Ontario, India
Senior Data Engineer

Senior Data Engineer

iLink Digital • Ontario Centre (Queensville), Ontario, India
17 days ago
Job type
  • Full-time
Job description

Job Description

This is a hands‑on deliveryrole 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

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Senior Data Engineer • Ontario Centre (Queensville), Ontario, India

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