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.

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.

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.

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 recent 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 Terr

📌 Senior Data Platform Engineer (London)
🏢 Canada Life
📍 London