Data Platform Engineering Specialist

We are Canada Life

Being a part of Canada Life means you have a voice. This is a place where your unique background, perspectives and talents are valued, and shape our future success.

You can be your best here. You’re part of a diverse and inclusive workplace where your career and well-being are championed. You’ll have the opportunity to excel in your way, finding new and better ways to deliver exceptional customer and advisor experiences.

Together, as part of a great team, you’ll deliver on our shared purpose to improve the well-being of Canadians. It’s our driving force. Become part of a strong and successful company that’s trusted by millions of Canadians to do the right thing.  

Be your best at Canada Life.

We are looking for a Data Platform Engineering Specialist 

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 or Winnipeg. 

Role description 

We are looking for a Data Platform Engineer who is experienced in Azure data and analytics offerings with proven track record of designing, delivering, and supporting cloud data solutions to enable business outcomes.

Experience:

• Extensive knowledge working with Azure cloud ecosystem and toolsets including (but not limited to):
  - Cloud Storage (e.g. ADLS, Blob)
  - Automation (e.g. Azure Data Factory, Azure Machine Learning Pipelines)
  - Data Transformation (e.g. Databricks, Synapse)
  - Data Governance (e.g. Collibra, Purview)
  - AI/ML integration with different types of data (e.g. structured/semi/unstructured) in interactive and batch mode
• Experience with setup, configuration, and maintenance of automated machine learning platform like Azure Machine Learning and associated platform maintenance
• Demonstrated operations knowledge/experience related to day-to-day support of advanced analytics and/or machine learning platforms (e.g. Azure Machine Learning PaaS setup/configuration)
• Demonstrated operational experience in performing installation and upgrades to cloud ecosystem toolsets
• Experience with setup, configuration, and maintenance of Azure Kubernetes and associated platform maintenance
• Experience with Docker Desktop, creation, maintenance of docker file images (e.g. application of security patches), and promotion to Azure Container Registry environment
• Experience with Prisma Cloud environment (formerly Twistlock) for scanning Docker images
• Good DataOps and MLOps understanding and implementation experience surrounding data pipeline and data science model operationalization and support (i.e. build/promote/maintain data model pipelines) including performance monitoring and scaling
• Comfortable working with industry-standard CI/CD tools (e.g. Git, Azure DevOps, Nexus)
• Demonstrated operational experience with support of end users and technology platforms for advanced analytics
• Strong background in Unix and Windows integrated environments
• SQL skills to understand complex queries and optimize them for performance across large volumes of data
• Technical data analytics experience with a variety of RDBMS (i.e. SQL Server, DB2 LUW and zOS) and non-relational systems (i.e. semi-structured and unstructured data)
• Exposure to data visualization ecosystem like Tableau and Power BI, both on-premise and cloud implementations
• Communication and presentation experience with proven track record of using insights to influence executives and colleagues
• Passion for continuously learning new technologies

Primary Responsibilities:

• Enable stakeholder groups to use data and analytics platform effectively
• Operationalization of data science models and other data products
• Monitor data platform performance and availability in a 24x7 production environment
• Assist end users to troubleshoot AI/ML model errors and model execution issues
• Advance the maturity of the technologies and operations by automation and process improvements
• Collaborate with business partners and other specialists to ensure that the tools and technology platform can support the analytics requirements.
• Provide technical guidance on platform maintenance including integration with other existing solutions deployed in the enterprise
• Effectively communicate technology platform changes to stakeholder groups

Be your best at Canada Life- Apply today 

We are one of Canada's top 100 employers!

Canada Life serves?the financial security needs of more than 13 million people across Canada, with additional operations in Europe and the United States. As members of the Power Financial Corporation group of companies, we’re one of Canada’s leading insurers with interests in life insurance, health insurance, investment and retirement savings. We offer a broad portfolio of financial and benefit plan solutions for individuals, families, businesses and organizations.

We are committed to providing an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employee?has the opportunity to?reach their potential. 

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