Our financial services client is seeking a Senior Data Platform Engineer (10+ years) to build and manage Microsoft Fabric and Azure-based data platforms Join a data analytics team delivering enterprise-scale platform engineering initiatives within a financial services setting.

This role focuses on Microsoft Fabric, Azure Data Factory, Synapse, ADLS, Snowflake, and Databricks to support modern data integration and lakehouse architectures.

The position requires hands-on delivery of automated, reusable technical patterns across cloud-based data platforms.

Prior financial services exposure within capital markets, private markets, or pensions is considered a strong asset.

Must Haves 10+ years in platform engineering , cloud architecture , or data engineering Hands-on expertise with Microsoft Fabric , Azure Data Factory , Synapse , and ADLS for data integration pipelines Enterprise-scale administration of Snowflake including Snowpark , data sharing , and performance tuning Hands-on delivery using Databricks ,



lakehouse architectures , MLflow , Terraform , Azure Dev

Ops , and Git

Hub Actions Degree in a related technical field Nice to Have Financial services experience within capital markets, private markets, or pensions Exposure to Prefect or Airflow Hands-on work with dbt and dimensional modeling Responsibilities Configure, deploy, and manage Snowflake environments at enterprise scale Build and manage data integration pipelines within the Azure data ecosystem Set up and support unified lakehouse architectures and MLflow environments in Databricks Implement infrastructure-as-code and CI/CD processes tailored to data platforms Implement cross-platform observability and workflow orchestration solutions Develop automated and reusable technical patterns for cloud data platforms Document technical processes and collaborate with engineering and strategic teams

📌 Data Platform Engineer to build and manage Microsoft Fabric and Azure-based data platforms (Toronto)
🏢 S.i. Systems
📍 Toronto