Manager, Data Engineering development, deployment, and support of data solutions and data modernization
Job in
Ottawa, Ontario, Canada
Listing for:
S.i. Systems
Full Time
position
Listed on 2026-02-28
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 GCPBig data: Databricks (Preferred), Spark, Snowflake, Synapse, Big QueryOrchestration: Airflow, Azure Data Factory, dbtProficiency in SQL and at least one programming language (Python, Scala, Java, .Net)Experience managing batch and streaming data pipelinesFamiliarity 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 valuedStrong background in data architecture and data modeling (dimensional, data vault, lakehouse patterns)Ongoing professional development in leadership, project management, or data governance is an advantageNice to Have:
Master’s degree in Data Science, Analytics, or Business Administration (MBA)
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