Senior Engineer, Data Enablement

CPP Investments | Investissements RPC • Toronto, ON

91d • Hybrid

About The Position

Make an impact at a global and dynamic investment organization When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians. CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, São Paulo, and Sydney. CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to: Stimulating work in a fast-paced and intellectually challenging environment Accelerated exposure and responsibility Global career development opportunities Diverse and inspiring colleagues and approachable leaders A hybrid-flexible work environment with an emphasis on in-person collaboration A culture rooted in principles of integrity, partnership, and high performance An organization with an important social purpose that positively impacts lives If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here. 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.

Requirements

• 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 Haves

• 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 certification; ML-related certification is a plus

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed