Cloud Data Platform Engineer | Azure, ML & Leadership

TechAlliance of Southwestern Ontario, London Economic Development Corporation; Toronto; On-site; CAD 81,000 - 96,000; Full time

Benefits offered by this job

Career Development

Health & Wellness benefits

Mental health benefit

Paid time off

Pension plan

Employee discounts

Job summary

Canada Life is seeking a Data Platform Engineer to design and implement scalable data platform solutions in a cloud environment. You will partner with internal customers to resolve development challenges and enhance DevOps services for data pipelines.

The role requires Python proficiency, strong ML lifecycle experience, and hands-on work with Azure ML, SageMaker, Data Factory, Databricks, and GitLab. Excellent communication and leadership abilities are essential.

Qualifications

• 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.
• 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

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.

Skills

Python

Azure

AWS SageMaker

Azure Data Factory

Databricks

GitLab

Machine Learning lifecycle

Communication

Leadership

Customer focus

Time management

Adaptability

Education

University or College education in Computer Science/Computer Engineering

Tools

Azure Machine Learning

AWS SageMaker

Azure Data Factory

Databricks

GitLab

Job description

Canada Life is seeking a Data Platform Engineer to design and implement scalable data platform solutions in a cloud environment. You will partner with internal customers to resolve development challenges and enhance DevOps services for data pipelines.

The role requires Python proficiency, strong ML lifecycle experience, and hands-on work with Azure ML, SageMaker, Data Factory, Databricks, and GitLab. Excellent communication and leadership abilities are essential.