Senior Data Engineer
Offre en anglaisThe 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.
- Télétravail
- Canada
- Publié 3 juin 2026
- 1 poste
Résumé du poste
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.
Ce que vous ferez
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.
Exigences
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.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Microsoft Fabric
- Snowflake
- Data Migration
- Platform Modernization
- Data Architecture
- Data Engineering
- Data Pipelines
- AI/ML Models
Domaines d’emploi
- Technology
- Healthcare
- Data & Analytics
- Engineering
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte