Lead Java Big Data Engineer Vice President

Role Overview: At Citi, as the Vice President and Lead Engineer in the Oasys Financial team, you will spearhead a critical multi-year data transformation project. Your role involves modernizing the data architecture of Citi's core sub-ledger system, Oasys, by migrating from the legacy Sybase IQ data warehouse to a state-of-the-art Big Data ecosystem. Your technical expertise in Java and Big Data technologies will be crucial in defining the architecture, leading the execution, and delivering the next generation of the data and analytics platform. Key Responsibilities: - Architectural Leadership: Define the end-to-end architectural vision and technical roadmap for migrating to a modern Big Data platform, ensuring scalability, resilience, and security. - Big Data Strategy & Implementation: Lead the design, development, and deployment of robust data processing pipelines using technologies like Apache Spark, Kafka, and distributed data stores. - Data Migration Execution: Develop and execute a comprehensive strategy for migrating historical and transactional data from Sybase IQ, ensuring data integrity, minimal downtime, and zero business disruption. - Java Application Integration: Oversee the design and development of Java-based microservices for seamless integration with the Oasys application ecosystem. - Team Leadership & Mentorship: Lead and mentor a high-performing team of Java and Big Data engineers, fostering a culture of engineering excellence and innovation. - Stakeholder Management: Collaborate with global business leaders and senior technology managers to define requirements, manage expectations, and deliver solutions that drive business value. - Hands-On Contribution: Remain technically involved in coding, design, and architectural decisions, leading by example. Qualifications: Required: - Experience: 10+ years in professional software engineering, with at least 3 years in a technical leadership role. - Java Expertise: Proven track record in designing and building scalable server-side applications using Java. - Big Data Expertise: Hands-on experience with technologies like Apache Spark, Hadoop, and Kafka. - Data Warehousing & Databases: Extensive experience with relational databases and data warehousing concepts. - Leadership: Demonstrated experience in leading technical teams and delivering large-scale data projects. - Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Preferred: - Data Migration: Experience in leading successful migrations to modern Big Data platforms. - Cloud Data Platforms: Knowledge of cloud-native data services on platforms like AWS, Google Cloud Platform, or Azure. - Modern Java Ecosystem: Expertise in Spring Boot, microservices architecture, and containerization technologies. - AI-Assisted Development: Experience with AI-powered development tools to accelerate development and improve code quality. - Financial Domain: Knowledge of financial systems, particularly in trade processing, accounting, risk, or sub-ledger functions. (Note: Omitting additional details of the company as it was not included in the provided JD) Role Overview: At Citi, as the Vice President and Lead Engineer in the Oasys Financial team, you will spearhead a critical multi-year data transformation project. Your role involves modernizing the data architecture of Citi's core sub-ledger system, Oasys, by migrating from the legacy Sybase IQ data warehouse to a state-of-the-art Big Data ecosystem. Your technical expertise in Java and Big Data technologies will be crucial in defining the architecture, leading the execution, and delivering the next generation of the data and analytics platform. Key Responsibilities: - Architectural Leadership: Define the end-to-end architectural vision and technical roadmap for migrating to a modern Big Data platform, ensuring scalability, resilience, and security. - Big Data Strategy & Implementation: Lead the design, development, and deployment of robust data processing pipelines using technologies like Apache Spark, Kafka, and distributed data stores. - Data Migration Execution: Develop and execute a comprehensive strategy for migrating historical and transactional data from Sybase IQ, ensuring data integrity, minimal downtime, and zero business disruption. - Java Application Integration: Oversee the design and development of Java-based microservices for seamless integration with the Oasys application ecosystem. - Team Leadership & Mentorship: Lead and mentor a high-performing team of Java and Big Data engineers, fostering a culture of engineering excellence and innovation. - Stakeholder Management: Collaborate with global business leaders and senior technology managers to define requirements, manage expectations, and deliver solutions that drive business value. - Hands-On Contribution: Remain technically involved in coding, design, and architectural decisions, leading by example. Qualifications: Required: - Experience: 10+ years