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Senior Data Engineer

The Senior Data Engineer / Data Architect will play a key role in migrating and modernizing data platforms. This includes moving from Snowflake and legacy databases to a new Fabric-based ecosystem.

  • Remote
  • Canada
  • Posted Jun 3, 2026
  • 1 position

Job summary

Senior Data Engineer / Data Architect (Microsoft Fabric) 📍 Canada (Remote) 📅 Start Date: June 15 ⏳ Initial 6-Month Contract (Strong likelihood of long-term extension) We're partnering with a healthcare organization undertaking a major enterprise data transformation and are looking for a Senior Data Engineer / Data Architect with deep Microsoft Fabric expertise to help drive the initiative. This role will play a key part in migrating and modernizing data platforms, moving from Snowflake and legacy databases to a new Fabric-based ecosystem. The ideal candidate is highly technical, hands-on, and comfortable working across architecture and engineering responsibilities. Key Requirements: Microsoft Fabric experience (must-have) Strong Snowflake experience Hands-on coding and engineering background Experience with large-scale data migrations and platform modernization Strong data architecture and data engineering expertise Experience designing and building scalable data pipelines Experience with AI/ML models is a plus Apply below or send me a message for more information.

What you’ll do

The Senior Data Engineer / Data Architect will play a key role in migrating and modernizing data platforms. This includes moving from Snowflake and legacy databases to a new Fabric-based ecosystem.

Requirements

Candidates must have deep expertise in Microsoft Fabric and strong experience with Snowflake. A hands-on coding background and experience with large-scale data migrations and platform modernization are also required.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Microsoft Fabric
  • Snowflake
  • Data Migration
  • Platform Modernization
  • Data Architecture
  • Data Engineering
  • Data Pipelines
  • AI/ML Models

Job areas

  • Technology
  • Healthcare
  • Data & Analytics
  • Engineering

Additional details

Minimum experience
5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available