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Data Engineer Data Science Manager Data Analyst Cloud Computing

Manager, Data Engineering development, deployment, and support of data solutions and data modernization

Job in Toronto, Ontario, M5A, Canada
Listing for: S.i. Systems
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Cloud Computing
Job Description & How to Apply Below
Position: Manager, Data Engineering for the development, deployment, and support of data solutions and data modernization

Our Financial Services Client is looking for a Manager, Data Engineering for the development, deployment, and support of data solutions and data modernization platform. MANAG

This is Permanent role, % Remote, Vancouver, BC preferred, open to BC, Ontario candidates.

Overview:

This role oversees a team of data engineers responsible for building robust data pipelines, optimizing data architecture, and implementing best practices in data governance, automation, and performance. By partnering closely with business and technology teams, the Data Engineering Manager ensures data assets are effectively leveraged to support strategic priorities and enhance member experience.

Must Have:

  • 12+ years of experience in enterprise software development, with at least 3 years in a leadership or management (preferably leading data engineering teams) role.
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field (required)
  • Hands-on experience with modern data platforms such as:
  • Cloud: Azure (Preferred), AWS, or GCP
  • Big data: Databricks (Preferred), Spark, Snowflake, Synapse, Big Query
  • Orchestration: Airflow, Azure Data Factory, dbt
  • Proficiency in SQL and at least one programming language (Python, Scala, Java, .Net)
  • Experience managing batch and streaming data pipelines
  • Familiarity with CI/CD, infrastructure as code (Terraform), and version control tools (Git, Jenkins)
  • Additional certifications in cloud platforms (AWS, GCP) or data technologies (Snowflake, Spark) are highly valued
  • Strong background in data architecture and data modeling (dimensional, data vault, lakehouse patterns)
  • Ongoing professional development in leadership, project management, or data governance is an advantage

    • Nice to Have:

  • Master’s degree in Data Science, Analytics, or Business Administration (MBA)
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