Permanent Full Time Are you a Data Engineer professional with focus on platform administration and support and robust Leadership and Communication skills looking for a challenging and rewarding opportunity?

Canada Data

Team is looking for a Data Platform Engineer to join our team.

The Data Platform

Engineer is responsible for providing data platform and tool solutions to support business needs at Canada Life. Leveraging your cloud and Microsoft Azure technical subject matter expertise, you will have the exciting opportunity to design, adapt, and maintain data platform solutions within a cloud environment. You will navigate and reconcile considerations for immediate and future platform needs, encompassing but not limited to scalability, maintainability, performance, accuracy, reliability, security, compliance, cost, and robustness, even in situations where the requirements may be unclear or evolving.

You’ll collaborate cross-functionally with Product Owners as well as developers, quality assurance, governance & support experts in Toronto and other offices. In this role, you will be part of an on-call rotation in order to service our customers. Design and build highly scalable data platform solutions within a cloud environment.

Partner with our internal customers to understand their development pain points and craft platform solutions to address them. Support the effort to build and enhance DevOps services, including platform monitoring, platform, and deployment support for the respective pipelines for data delivery. Connectivity enablement for relevant models and their data sources.

Provide technical mentorship to data platform engineers and interns on the team. Help shape the long-term strategy and grow the team.



A University or College education in Computer Science, Computer Engineering or a related field or equivalent combination of education and experience 5+ years of experience building production data systems or platform components.

Strong coding skills in Python Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation Strong experience on Azure Machine Learning and AWS SageMaker, Azure Data Factory, Databricks administration and GitLab.

Experience managing the entire machine learning lifecycle. Desirable experience on Azure Cognitive Services and AWS Rekognition. Customer focus and strong relationship management skills This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc).

Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country. We’re looking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers, communities and each other. Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.

Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day.

Financial

Security:Company-matching pension plan,share ownership program and additionalinvestment options.

Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events. All information provided will be handled in accordance with applicable laws and Canada Life policies.

📌 Data Platform Engineer, Full Stack (Toronto)
🏢 Canada Life
📍 Toronto