Senior Engineer, Data Enablement, Data Platforms

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

• 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

Qualifications

• 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 have

• 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

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.

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