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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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Data platform engineer responsible for building, integrating, and automating a scalable Snowflake-centric data platform across Azure, Microsoft Fabric, and Databricks
S.i. Systems • Toronto, Canada
About the Role
Data Platform Engineer
Duration: Contract 6 months
Location: Downtown Toronto, ON (3 days/week Onsite)
Qualifications
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