Manager, Data Engineering development, deployment, and support of data solutions and data modernization Jobs in Ottawa, Canada at S.i. Systems
Title: Manager, Data Engineering development, deployment, and support of data solutions and data modernization
Company: S.i. Systems
Location: Ottawa, Canada
Category:
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.
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
Master’s degree in Data Science, Analytics, or Business Administration (MBA)
