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Associate Director, Data Engineer

The Hospital for Sick Children
Toronto, CAN
Executive
Onsite
Discovered 2 weeks ago
Data engineeringCloud data platformsMicrosoft FabricSnowflakeDatabricksMedallion/lakehouse architecture

Full Job Posting

About SickKids Foundation

SickKids Foundation is a national charity and fundraising partner to The Hospital for Sick Children, investing in child health research, learning, and care.

The Foundation raised over $200 million last year and supports national and international initiatives.

Its stated values include integrity, collaboration, excellence, innovation, and inclusion.

Position overview

The Associate Director, Data Engineer reports to the Director, Data Science & Engineering.

This senior hands-on technical contributor designs, builds, and operates governed, production-grade cloud data platforms.

The role emphasizes reliability, data quality, cost efficiency, scalable delivery, engineering standards, incident response, and enabling self-serve analytics and AI data products.

What you will do

  • Build and operate cloud data platforms using medallion architecture principles and technologies such as Microsoft Fabric, Snowflake, and Databricks.
  • Develop idempotent ETL/ELT pipelines with validation, quality checks, lineage, and repeatable workflows.
  • Create data models and semantic layers for analytics, reporting, and self-serve BI.
  • Implement observability, monitoring, alerting, cost attribution, and incident response for data availability and performance.
  • Establish coding standards, CI/CD patterns, and Infrastructure-as-Code practices.
  • Partner across business, analytics, IT, infrastructure, and security to deliver governed, compliant platform capabilities.
  • Support AI and advanced analytics opportunities, including natural-language querying and AI-powered data products.
  • Monitor emerging cloud data and AI practices, evolve the roadmap, and provide technical guidance to analytics and engineering partners.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.
  • Five to seven years of hands-on data or platform engineering experience, ideally across the full production platform lifecycle.
  • Expertise with cloud data platforms such as Microsoft Fabric, Snowflake, or Databricks and strong medallion/lakehouse architecture knowledge.
  • Strong data modeling and database design, including dimensional modeling and semantic layers for self-serve BI.
  • Hands-on production ETL/ELT development and experience with data quality, governance, CI/CD, and Infrastructure as Code.

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