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About the Role

The Canada Data Team is looking for a Data Platform Engineer to join our team. You will design, adapt, and maintain data platform solutions within a cloud environment, navigating considerations for scalability, maintainability, performance, accuracy, reliability, security, compliance, cost, and robustness. You will collaborate cross-functionally with Product Owners, developers, quality assurance, governance & support experts and participate in an on-call rotation.

Responsibilities

Design and build highly scalable data platform within a cloud environment.
Partner with internal customers, stakeholders and project teams to understand their development pain points and craft platform solutions.
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.

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 supporting cloud-based data platforms in a production environment
Strong understanding of 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.

Skills

Azure Databricks
Azure Data Factory
ADLS Gen2
Terraform
Infrastructure as Code
Microsoft Entra ID
Active Directory
Control-M
CI/CD
DevOps
Agile methodologies
Jira
Trello

Location

Toronto

Work Type

Permanent
Full Time
Hybrid

Experience Level

5+ years of experience

Education Level

University or College education in Computer Science, Computer Engineering or a related field or equivalent combination of education and experience.

Salary/Compensations

$80,700 - $95,700 annually

Benefits

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: Workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

About the Company

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!

Equal Opportunity

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.