Senior Data Platform Engineer

Cppinvestmentsinvestissementsrpc — Canada · Posted ~6 hours ago

Senior Full-time

Skills

data platforms data engineering software engineering enterprise data platform development

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A senior engineering role focused on building reusable data platforms, tools, and services that help organizations discover, understand, and safely consume trusted data. The position offers meaningful technical ownership, collaboration with experienced professionals, and the opportunity to deliver durable solutions at enterprise scale.

Highlights

Meaningful work with enterprise-scale data platforms, strong collaboration, long-term impact, and opportunities to build reusable tools and services.

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 experiencesCollaborate with users and stakeholders to gather feedback and refine features to ensure solutions are practical and adoptedDevelop solutions with performance, scalability, resiliency, and security in mind, following DevSecOps and operational standardsContribute 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 standardsBuild and maintain backend services (serverless and containerized where appropriate) that support enterprise data platforms and portalsImplement and maintain APIs, including contracts, versioning, and data validationContribute to workflow automation capabilities within Data Enablement solutions under enterprise controls Qualifications 5+ years of software engineering experience delivering production-grade services using PythonStrong experience with AWS cloud platform, including networking and secure access patternsSolid 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 GraphRAGExperience 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 patternsAWS 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.