Must Have Technical/Functional Skills
Strong experience designing and delivering large-scale distributed applications using Java/J2EE and modern enterprise architecture patterns.
Deep expertise in API-led architecture, microservices, event-driven architectures, and service integration patterns for building scalable, loosely coupled systems.
Hands-on experience designing and implementing RESTful APIs, web services, asynchronous messaging, and integration solutions using technologies such as JSON, XML, Kafka, JMS, or equivalent messaging platforms.
Strong knowledge of object-oriented design, domain-driven design (DDD), enterprise integration patterns, and application architecture best practices.
Experience with modern Java development frameworks and tools, including Spring Boot, Spring Cloud, JPA/Hibernate, Maven/Gradle, and related development ecosystems.
Strong understanding of containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, and related cloud-native deployment models.
Experience designing secure solutions using OAuth2, OpenID Connect, mTLS, API security, and enterprise security standards.
Familiarity with modern data architecture patterns, including real-time data processing, master data management, customer data platforms, event streaming, and data integration platforms.
Strong understanding of performance engineering, scalability, capacity planning, and operational excellence for mission-critical enterprise platforms.
Experience working within agile product delivery models and collaborating across architecture, engineering, product, and operations teams.
Excellent communication, leadership, and stakeholder management skills with the ability to influence technology strategy and drive architectural decisions across large organizations.
Roles & Responsibilities
Experience designing solutions for customer data management, customer 360 platforms, identity resolution, customer mastering, consent management, and data governance.
Understanding of enterprise data domains, data lineage, metadata management, privacy regulations, and data quality frameworks.
Experience supporting large-scale digital, analytics, personalization, and AI/ML use cases through modern customer data platforms.
Salary Range: $85,000 - $90,000 a year
