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Senior Data Platform Engineer

Canada Life

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
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Vacancy posted 6 hours ago
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