Data Platform Engineer

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

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Are you a Data Engineer professional with focus on platform administration and support and strong 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.

What you will do:

• 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.

What you will bring:

• 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.
• 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

The base salary for this position is between $80,700 - $95,700 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life

We’reunited by a shared purpose: to improve the financial,physicaland mental well-beingof Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.

We’relooking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers,communitiesand each other.Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!

What we offer:

We’re committed to supporting our employees through every stage of their career. Here’s what you can expect as a full-time or part-time permanent team member:

• Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annuallytowardseducation reimbursement.
• Health & Wellness: Flexible health and dental benefits,plus a $5,000 mental health benefit to support your well-being.
• Time Off: In addition to regular vacation andpersonal days,we support communityinvolvement with avolunteer day.
• Financial Security: Company-matching pension plan,share ownership program andadditionalinvestment options.
• Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
• Emphasis onCommunity: We provide aworkplace whereemployeesfeel connected and supported throughEmployee Resource Groups (ERGs),mentorshipprograms,socialclubsandevents.

We’recommitted to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact [e-mail] . All information provided will be handledin accordance withapplicable laws and Canada Life policies.

Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.

#LI-Hybrid

Location: Toronto, ON, CA London, ON, CA