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Data platform engineer responsible for building, integrating, and automating a scalable Snowflake-centric data platform across Azure, Microsoft Fabric, and Databricks

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S.i. Systems
📍 Toronto, Canada
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Location Toronto
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Posted June 02, 2026
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Commute Local Area
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Local Opportunity Near You!

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Job Description

Data Platform Engineer

Duration: Contract 6 months

Location: Downtown Toronto, ON (3 days/week Onsite)

Qualifications 

  • 5+ years of hands-on experience in platform engineering, cloud architecture, or data engineering roles, with a proven track record of delivering technical solutions at speed. 
  • Deep, hands-on technical expertise configuring, deploying, and managing Snowflake at an enterprise scale (including warehouse sizing, Snowpark, data sharing, and performance tuning). 
  • Strong hands-on experience within the Azure data ecosystem, specifically with Microsoft Fabric, Azure Data Factory, Synapse, and ADLS, to build and manage data integration pipelines. 
  • Proven technical proficiency in Databricks, with the ability to set up and support unified lakehouse architectures and MLflow environments. 
  • Extensive experience with infrastructure-as-code (e.g., Terraform, ARM templates) and modern CI/CD practices...

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    📍 Location Details

    🌆
    City
    Toronto
    🗺️
    Country
    Canada
    🚗
    Commute
    Local Area

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