About the role
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
Not the right fit? Search for Data Engineer jobs in East Gwillimbury, Ontario, Canada
About iLink Digital
Established in 2002, iLink Digital, an ISO 9001 and CMMI L3 accredited company is a global leader in digital transformation. We specialize in Data Engineering, Generative AI, Cloud Operations, Business Applications, and RPA consulting. With over two decades of IT excellence, our 2,500 experts across 18 offices serve Fortune 1000 clients worldwide. We proudly partner with industry leaders like Microsoft, Salesforce, AWS, UiPath, Outsystems, Databricks, and Confluent, earning multiple Microsoft Partner of the Year awards. iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems User Experience design, etc.
What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
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About the role
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
Not the right fit? Search for Data Engineer jobs in East Gwillimbury, Ontario, Canada
About iLink Digital
Established in 2002, iLink Digital, an ISO 9001 and CMMI L3 accredited company is a global leader in digital transformation. We specialize in Data Engineering, Generative AI, Cloud Operations, Business Applications, and RPA consulting. With over two decades of IT excellence, our 2,500 experts across 18 offices serve Fortune 1000 clients worldwide. We proudly partner with industry leaders like Microsoft, Salesforce, AWS, UiPath, Outsystems, Databricks, and Confluent, earning multiple Microsoft Partner of the Year awards. iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems User Experience design, etc.
What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.