Data Platform Engineer
About The Position
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.
Requirements
- 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.
- Strong communication skills with an ability to motivate.
- Customer focus and strong relationship management skills
- Ability to quickly adapt to changing priorities and working within ambiguous situations.
- Effective time management, prioritization, and decision-making skills
Nice To Haves
- Desirable experience on Azure Cognitive Services and AWS Rekognition.
Responsibilities
- 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.
- Deliver appropriate Resource Access Permissions for respective use cases.
- Provide technical mentorship to data platform engineers and interns on the team.
- Help shape the long-term strategy and grow the team.
Benefits
- Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
- Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
- In addition to regular vacation and personal days, we support community involvement with a volunteer day.
- Company-matching pension plan, share ownership program and additional investment options.
- Employee recognition programs, service milestone celebrations, employee discounts and more!
- Employee Resource Groups (ERGs), mentorship programs, social clubs and events.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
