Lead Engineer, Data Enablement, Data Platforms

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 contributeto outcomes that matter alongside team members committed to excellence and shared success.

The Role:

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.

The Team:

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.

Accountabilities

• 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

Qualifications

• 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 have

• 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

#INDGD-T

You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in 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 to equitable access 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.

Attention: Protect Yourself from Fraud

CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.

CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.