Lead Engineer, Data Enablement

CPP Investments | Investissements RPC•Toronto, ON

61d•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

Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science).
6+ years of experience delivering production-grade software services
Strong programming skills in Python
Strong experience with AWS cloud platform, including networking, security, and multi-account environments
Solid understanding of identity and access management (e.g., IAM, Cognito, authentication/authorization patterns)
Experience building APIs and backend services (REST/GraphQL, event-driven architectures, resiliency patterns)
Hands-on experience with Infrastructure-as-Code and DevSecOps practices (e.g., Terraform, CI/CD pipelines, automated security controls)
Experience with observability and reliability practices (logging, monitoring, alerting, incident response)
Strong API design experience (OpenAPI/Swagger, versioning, backward compatibility)
Experience working with data formats and schema validation/transformation (e.g., JSON)
Experience building and operating backend services for user-facing platforms

Nice To Haves

Experience with agentic or orchestration frameworks (e.g., AWS Bedrock, LangChain, LlamaIndex)
Understanding of retrieval approaches such as RAG/GraphRAG and vector search (e.g., OpenSearch, Pinecone, Weaviate)
Experience with containerization and platform operations (e.g., Docker, Kubernetes/EKS)
Familiarity with data query and serving layers (e.g., Redshift, Trino, StarRocks) and governed data access patterns
AWS Data & Analytics certification; ML-related certification is a plus

Responsibilities

Design, architect, and evolve Data Enablement services to improve data discovery, access, and trust across the organization
Drive adoption of services by engaging users, understanding needs, and iterating on solutions to maximize value
Ensure solutions are scalable, resilient, and secure by applying DevSecOps practices, automation, and operational standards
Produce and maintain solution architecture artifacts (e.g., HLD/LLD, threat models) and support governance processes (ARB, Information Security)
Partner with Cloud Foundation and Data Foundation teams to align with enterprise standards, shared services, and platform guardrails
Build and operate backend services supporting enterprise data platforms and portals
Define and maintain API standards, including contracts, versioning, and compatibility
Contribute to workflow automation capabilities used within Data Enablement solutions under enterprise controls
Design and build core platform services that power enterprise data discovery and consumption, including portal backends, APIs, governance workflows, and programmatic consumption interfaces on top of the Enterprise Data Fabric.
Ensure services are secure, scalable, and adopted across departments.