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Senior Data Platform Engineer

Pay
$85,200–135,200/year · Base — pay source
- 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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design and build scalable data platforms in Azure

  • Administer and optimize Azure Databricks, Data Factory and ADLS Gen2

  • Provision cloud infrastructure with Terraform as code

  • Manage platform security and access via Entra ID and AD groups

  • Troubleshoot platform incidents and take part in an on-call rotation

From the employer’s posting
Design and build highly scalable data platform within a cloud environment
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
Manage platform security, access controls, and governance through Microsoft Entra ID, Active Directory groups, and role-based access models
Provide operational support within an on-call rotation to ensure platform availability and service reliability

Benefits in the posting

Full benefits wording
  • Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
  • 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!

From the employer’s posting.

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

From 11,206 similar postings that came down. Coming down is not always a hire.

The Canada Life Assurance Company is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Azure
  • Databricks
  • Terraform
Where the posting names them
- 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
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- 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
- 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

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

 

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. 

#LI-Hybrid 

Source details

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Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
- 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.
Location & working pattern

London, ON, CA

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. -
More source context
Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted. #LI-Hybrid
Work authorization
- 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.

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