Cloud Analytics Leader — Microsoft Fabric & AI

Randstad Digital Americas

Mississauga

On-site

CAD 100,000 - 120,000

Full time

10 days ago

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Job summary

Randstad Digital Americas is partnering with a leading global industrial gases and engineering company in Mississauga to hire a senior Data Engineering/Architecture professional stepping into a leadership role. You will oversee the shift into next-generation cloud analytics and own technical architecture while mentoring one direct report.

You will drive modernization with Microsoft Fabric, Spark, Azure, and Power BI, designing scalable ETL/ELT pipelines, maintaining legacy SQL environments, and

Qualifications

  • 8-10+ years in Data Engineering/Architecture, or 5+ years with recent Lead experience.
  • Hands-on with Microsoft Fabric, Apache Spark, and cloud data platforms (Azure preferred).
  • Strong SQL core with SQL Server, indexing, scheduling, and performance tuning.

Responsibilities

  • Architect the Future State: blueprint current vs future data state and roadmaps.
  • Lead the Modernization: drive Microsoft Fabric and AI tool integration.
  • Pipeline Engineering: design and optimize ETL/ELT pipelines across clouds.
  • Maintain & Modernize Legacy: support SQL Server/SSIS while migrating to cloud.
  • Data Delivery & Analytics: enable BI and dashboarding with Power BI.
  • Data Governance & Quality: establish cataloging, lineage, security, and standards.

Skills

Microsoft Fabric
Azure
Apache Spark
SQL Server
Python
SQL Core
Power BI
Data Architecture
ETL/ELT pipelines
Leadership

Tools

SQL Server
SSIS
Visual Studio
Azure Data Services

Job description

Randstad Digital Americas is partnering with a leading global industrial gases and engineering company in Mississauga to hire a senior Data Engineering/Architecture professional stepping into a leadership role. You will oversee the shift into next-generation cloud analytics and own technical architecture while mentoring one direct report.

You will drive modernization with Microsoft Fabric, Spark, Azure, and Power BI, designing scalable ETL/ELT pipelines, maintaining legacy SQL environments, and

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