Summary: This role involves leading Java-based application development, integrating cloud and legacy systems, and engaging with stakeholders to translate requirements into architectural blueprints. Highlights: 1. Lead Java-based application development and integration 2. Engage with business leaders and technical teams for architectural solutions 3. Expertise in data architecture, quality, and governance tools Must have 10\+ years of experience in Java based applications and React/Angular. * Must have Java Lead experience for at least 3\+ years. * Must have hands on experience on Java 8/11/17 and Spring boot apps and Singe page applications. * Strong in integrating cloud\-based apps with legacy apps or apps on another platform. * Must have hands\-on experience on SOAP based services, Rest API’s, Messaging services such as Kafka, etc. * Experience applying Design Patterns and Best Engineering Practices. * Experience with TDD, ATDD, BDD or any other test practice. * Experience with DevOps tools: Docker, Shell script, Jenkins, CI/CD * Experience working with at least one of the Cloud Services: GCP/Azure/GCP,(3\+ years of experience). Must have experience on Kubernetes cluster. * Strong experience working with cloud and on\-perm databases. * Strong Knowledge on quality tools such as BlackDuck, Fortify, Aquasec. * Strong knowledge on migrating Monolithic apps to Microservices. * Engage with business leaders, product owners, and technical teams to gather requirements and translate them into architectural blueprints. * Facilitate workshops and design sessions to align cross\-functional teams on solution direction. * Communicate complex technical concepts clearly to non\-technical stakeholders. The ideal profile should include expertise in data architecture (Data Lakes, Lakehouse, modern Data Warehouses), data quality (defining and implementing rules, automated validations), metadata and technical lineage management, schema and security control (including data classification and PII handling), as well as experience with data pipelines and process automation. Practical SQL skills and familiarity with governance tools such as data catalogs, lineage, and data quality solutions are highly desirable. know"