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