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Lead, Data Engineering - Remote

Posted 6 days ago
Data Analysis
Full Time
Toronto, ON, Canada
$77,000 - $95,000/year

Overview

The Lead, Data Engineering is responsible for designing, building, and managing the data infrastructure components and systems within WoodGreen’s enterprise data environment, in coordination with Information Technology (IT) for shared Azure responsibilities. The incumbent will lead the end-to-end deployment and operation of all Azure-based data architecture, ensuring the platform is secure, scalable, governed, and optimized for analytics, reporting, and future innovations including AI.

In Short

  • Design and operate data platform infrastructure in Azure.
  • Provision and configure core platform services.
  • Build and maintain automated ingestion and transformation pipelines.
  • Implement Infrastructure-as-Code using tools like Terraform.
  • Develop automated deployment pipelines using Azure DevOps.
  • Enforce data role-based access controls and encryption standards.
  • Collaborate with governance teams on metadata capture.
  • Monitor platform health and resolve issues proactively.
  • Lead platform hardening activities.
  • Provide mentorship and support for technical staff.

Requirements

  • Bachelor’s degree in Computer Science or related field.
  • 7+ years of experience in enterprise data engineering.
  • Expertise in Azure-based analytics platforms.
  • Hands-on experience with Azure Data Factory and Databricks.
  • Proficiency in SQL and scripting languages like Python.

Benefits

  • Opportunity to work remotely after orientation.
  • Competitive salary range.
  • Inclusive and diverse work environment.
  • Commitment to ethical data practices.
WoodGreen Community Services logo

WoodGreen Community Services

WoodGreen Community Services is a dedicated organization focused on delivering holistic community services that address the unmet needs of clients across the city. With a commitment to innovation, WoodGreen has established its Digital Transformation Office within the Central Services division to enhance digital solutions, analytics, and overall digital experiences. The organization aims to empower its community through data-driven insights and effective program delivery, fostering a culture of continuous improvement and collaboration.

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