Lead migration of a legacy data warehouse to Microsoft Fabric, design and implement a medallion (lakehouse) architecture, perform Fabric fitment assessments, define target cloud architecture and operating model, create migration roadmaps, and deliver a Proof of Value/MVP while collaborating with customer engineering teams.
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
- 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)
- 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
- 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)
- 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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