Senior Backend / Data Platform Engineer – Customer Data

Key Responsibilities 1. Platform Development & Architecture Design and implement backend services supporting MADP capabilities Contribute to an event-driven architecture (event sourcing, CQRS, messaging) Build and evolve platform-level components (not just feature-specific code) Ensure solutions are reusable, scalable, and aligned with platform principles 2. API & Integration Design Design and implement robust, versioned APIs for data access and integration Ensure backward/forward compatibility and stability of API contracts Integrate with upstream and downstream systems (e.g. OnePAM ecosystem) 3. Data Modelling & Lifecycle Management Contribute to domain-driven data modelling Manage schema evolution , ensuring minimal impact on consumers Ensure alignment with data governance and data quality rules Understand and handle data lifecycle complexity (creation, update, deletion, versioning) 4. Platform Engineering & CI/CD Contribute to CI/CD pipelines, branching strategies, and promotion flows Support the separation between: Platform lifecycle Tenant/domain lifecycle Improve automation, deployment standards, and engineering practices 5. Operability & Reliability Ensure solutions are production-ready and observable Contribute to: Monitoring & observability Incident resolution Performance optimization Support a high availability, multi-tenant platform 6. Collaboration & Knowledge Sharing Work closely with: Architects, Data Stewards, and Product Owners Operations and Security teams Actively document, explain, and share knowledge Contribute to a transparent and maintainable platform (no “black box” systems) Required Skills & Experience Core Technical Skills Strong experience in backend development (Java / Spring Boot or similar) Proven experience with event-driven systems (Kafka or equivalent) Solid understanding of: Event sourcing and CQRS patterns Distributed systems design Strong experience in API design and integration patterns Data & Platform Expertise Experience with: Data modelling (schema design, evolution) Handling data lifecycle and versioning Familiarity with data governance and access control concepts Experience building or contributing to platforms (not just applications) DevOps & Engineering Practices Knowledge of: CI/CD pipelines Git branching strategies Deployment and release management Familiarity with cloud and distributed infrastructure