Performance. 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.

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.

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. Design, architect, and evolve Data Enablement services to improve data discovery, access, and trust across the organization 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 Contribute to workflow automation capabilities used within Data Enablement solutions under enterprise controls 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 ~ Robust experience with AWS cloud platform, including networking, security, and multi-account environments ~ Solid understanding of identity and access management (e.g., Experience building APIs and backend services (REST/GraphQL, event-driven architectures, resiliency patterns) ~ Terraform, CI/CD pipelines, automated security controls) ~ Experience with observability and reliability practices (logging, monitoring, alerting, incident response) ~ Experience working with data formats and schema validation/transformation (e.g., Experience building and operating backend services for user‑facing platforms ~ AWS Bedrock, LangChain, LlamaIndex) ~ 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 #You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself tohigh standardsin a collaborative, performance-driven environment.

We provide colleagues with cutting‑edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact. Inclusion & Accessibility CPP Investments is committed toequitableaccess to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs. #

📌 Lead Engineer, Data Enablement, Data Platforms (Toronto)
🏢 CPP Investments | Investissements RPC
📍 Toronto