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Added 10 mins ago
MD
Information Technology Specialist 5 - Unified Communications & Collaboration Architect
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Saint-Paul, NB · St.-Paul, NB
- Full-time
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Manager, Business Banking Credit
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Added 1 hour ago
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Added 2 hours ago
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Added 2 hours ago
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The Canada Life Assurance Company

Senior Data Platform Engineer

London, ON, Canada
Toronto, ON, Canada

The base salary for this position is between $85,200 - $135,200 annually.

Apply About employer

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Job details

Pay: The base salary for this position is between $85,200 - $135,200 annually.
Apply by: Nov 14, 2026
Experience: 10+ years of experience supporting cloud-based data platforms in a production environment
Posting language: English
Posted: Oct 29, 2026

Original job description

Permanent Full Time

Are you a Senior Data Platform Engineer professional focused on platform administration, operations and support, have strong Leadership and Communication skills who is looking for a challenging and rewarding opportunity? The Canada Data Team is looking for a Data Platform Engineer to join our team.

The Senior 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 within a cloud environment
Partner with our internal customers, stakeholders and project teams 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, and platform and deployment support for respective data delivery pipelines
Connectivity enablement and integration for delivery pipelines and their data sources
Deliver appropriate Resource Access Permissions for respective use cases to implement Data Security and Governance
Troubleshoot complex performance and integration issues across Azure services
Design and implement data platform based on Azure Databricks supporting analytical and operational workloads
Administer, support, and optimize Azure-based data platforms including Azure Databricks, Azure Data Factory, ADLS Gen2, and associated platform services
Provision and configure cloud infrastructure using Terraform and Infrastructure as Code practices
Collaborate with Cloud Engineering teams to deploy and maintain Azure Databricks workspaces and supporting infrastructure
Manage platform security, access controls, and governance through Microsoft Entra ID, Active Directory groups, and role-based access models
Troubleshoot platform issues involving Databricks, Azure Data Factory, Control-M, storage, networking, and virtual machines
Monitor platform health, investigate incidents, analyse logs, and implement proactive measures to improve platform reliability
Support onboarding of new applications and data domains to the enterprise data platform
Develop automation to streamline platform administration, provisioning, and operational support activities
Participate in incident, problem, change, and release management processes
Provide operational support within an on-call rotation to ensure platform availability and service reliability

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
10+ years of experience supporting cloud-based data platforms in a production environment
Strong understanding of Databricks and cloud data architecture, infrastructure best practices, and distributed systems
Hands-on experience administering Azure Databricks workspaces, clusters, Unity Catalog, permissions, and security configurations
Experience supporting Azure services such as ADLS Gen2, Storage Accounts, Key Vault, Virtual Machines, Networking, Private Endpoints, and Azure Monitor
Strong experience with Terraform and Infrastructure as Code practices
Experience managing access controls using Microsoft Entra ID and Active Directory security groups
Experience troubleshooting Azure Data Factory and enterprise scheduling/orchestration platforms such as Control-M
Strong understanding of operational support processes including incident management, problem management, change management, and root-cause analysis
Experience interpreting platform audit logs, diagnostic logs, monitoring dashboards, and performance metrics
Familiarity with CI/CD practices and DevOps methodologies
Strong problem-solving and decision-making abilities
Experience with agile methodologies and delivery management tools (e.g., Jira, Trello)
Customer focused with strong communication and relationship management skills
Ability to quickly adapt to changing priorities and working within ambiguous situations
Provide technical leadership, code development and reviews (Python), and mentorship to platform engineers within the data platform team
Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada website. The cost of submitting these checks will be covered by Canada Life

Note: This is not a Data Engineer position. We are specifically seeking candidates with strong Databricks, Microsoft Azure, and platform engineering expertise. Candidates whose experience is primarily focused on data engineering will not be considered for this role.

Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto, London.

This role follows a hybrid work model, with an in-office presence required three days per week.

The base salary for this position is between $85,200 - $135,200 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’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. 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. 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 annually towards education 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 and personal days, we support community involvement with a volunteer day.

Financial Security: Company-matching pension plan, share ownership program and additional investment options.

Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

Learn more about Canada Life.

We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.

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

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More about this job

Responsibilities

The Senior Data Platform Engineer is responsible for designing, building, and maintaining scalable data platform solutions within a Microsoft Azure cloud environment. This role involves collaborating with cross-functional teams to provide operational support, platform monitoring, and security governance while participating in an on-call rotation.

Requirements

Candidates must have 10+ years of experience supporting cloud-based data platforms with strong expertise in Azure and Databricks. A university or college education in Computer Science, Computer Engineering, or a related field is required.

Skills

Azure
Databricks
Platform engineering
Terraform
Infrastructure as code
Python
Azure Data Factory
ADLS Gen2
Microsoft Entra ID
DevOps
CI/CD
Cloud architecture
Distributed systems
Incident management
Leadership
Communication

Benefits

Career development
Education reimbursement
Flexible health and dental benefits
Mental health benefit
Volunteer day
Company-matching pension plan
Share ownership program
Employee recognition programs
Employee discounts

Visa sponsorship

Not detected in the job text

Keywords

Azure
Databricks
Platform Engineering
Terraform
Infrastructure as Code
Python
Azure Data Factory
ADLS Gen2
Microsoft Entra ID
DevOps
CI/CD
Cloud Architecture
Distributed Systems
Incident Management
Unity Catalog
Control-M
Azure Monitor
Agile
Jira
Trello
Data Security
Governance
Networking
Virtual Machines
Performance Tuning
Automation
Platform Administration
Cloud Engineering
Operational Support
Reliability

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