Senior Engineer, Data Enablement, Data Platforms at CPP Investments

Job description

Purpose. Performance. People. Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians. With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide. For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here, you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success. Role Summary: The Data Enablement Team enables the organization to derive value from enterprise data by building reusable platforms, tools, and services that help users and applications discover, understand, and safely consume trusted data products for production, analytics, and research use cases. The team owns the enterprise Data Portal and the FinSights BI Portal (one-stop shop for enterprise BI assets), builds low‑latency consumption services on top of the Enterprise Data Fabric and data catalog, and delivers product governance services, operational dashboards, and computational governance embedded into the platform. The team uses automation and agentic techniques as implementation tools to improve discovery, comprehension, and self‑serve user journeys across departments—while maintaining security, entitlements, and policy controls by design. Accountabilities & Qualifications: Accountabilities Build and support Data Enablement services and platform components to improve data discovery, access, and self-service experiences Collaborate with users and stakeholders to gather feedback and refine features to ensure solutions are practical and adopted Develop solutions with performance, scalability, resiliency, and security in mind, following DevSecOps and operational standards Contribute to solution design and documentation (e.g., LLD, interface specifications) and support governance processes (ARB, Information Security) Partner with Cloud Foundation and Data Foundation teams to integrate with shared services, entitlements, and platform standards Build and maintain backend services (serverless and containerized where appropriate) that support enterprise data platforms and portals Implement and maintain APIs, including contracts, versioning, and data validation Contribute to workflow automation capabilities within Data Enablement solutions under enterprise controls Qualifications 5+ years of software engineering experience delivering production-grade services using Python Strong experience with AWS cloud platform, including networking and secure access patterns Solid understanding of identity and access management (IAM, authentication/authorization patterns) Experience building backend services and APIs (REST/GraphQL, event-driven architectures, resiliency patterns) Hands-on experience with Infrastructure-as-Code and DevSecOps practices (e.g., Terraform, CI/CD, security controls) Experience with observability and reliability practices (monitoring, alerting, incident response) Strong API design experience (OpenAPI/Swagger, versioning, backward compatibility) Experience working with structured data formats and schema processing (e.g., JSON) Working knowledge of authentication and authorization patterns (e.g., Cognito, IAM) Nice to have Experience with agentic or orchestration frameworks (e.g., AWS Bedrock, LangChain, LlamaIndex) Understanding of retrieval approaches such as RAG and GraphRAG Experience with vector search technologies (e.g., OpenSearch, Pinecone, Weaviate) Familiarity with containerization and platform operations (e.g., Docker, Kubernetes/EKS) Experience integrating with enterprise data platforms, catalogs, or governed access patterns AWS Data & Analytics certificati