Job Description Role Overview: At Citi, you will be part of the Oasys Financial team as a Vice President and Lead Engineer responsible for spearheading a critical, multi-year data transformation project. You will play a pivotal role in modernizing the data architecture by migrating from legacy Sybase IQ to a state-of-the-art Big Data ecosystem. Your expertise in Java and Big Data technologies will be crucial in defining the architecture, leading the execution, and delivering the next generation of 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, large-scale data processing pipelines using technologies like Apache Spark, Kafka, and distributed data stores.
• Data Migration Execution: Develop and execute a phased 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 new data platform.
• Team Leadership & Mentorship: Lead, inspire, and mentor a high-performing team of Java and Big Data engineers to foster a culture of engineering excellence and innovation.
• Stakeholder Management: Collaborate with global business leaders, product owners, and senior technology managers to define requirements and deliver solutions that drive significant business value.
• Hands-On Contribution: Remain technically involved in coding, design, and architectural decisions to lead by example.
Qualifications:
• Required: - Experience: 10+ years in software engineering, with at least 3 years in a technical leadership or architect role. - Java Expertise: Proven track record in designing and building high-performance server-side applications using Java. - Big Data Expertise: Hands-on experience with technologies like Apache Spark, Hadoop, and Kafka. - Data Warehousing & Databases: Extensive knowledge of relational databases, data modeling, 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 (Highly Desirable): - Data Migration: Experience in leading migration from legacy data warehouses to modern Big Data platforms. - Cloud Data Platforms: Familiarity with 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: The additional details of the company were not included in the provided job description. Job Description Role Overview: At Citi, you will be part of the Oasys Financial team as a Vice President and Lead Engineer responsible for spearheading a critical, multi-year data transformation project. You will play a pivotal role in modernizing the data architecture by migrating from legacy Sybase IQ to a state-of-the-art Big Data ecosystem. Your expertise in Java and Big Data technologies will be crucial in defining the architecture, leading the execution, and delivering the next generation of 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, large-scale data processing pipelines using technologies like Apache Spark, Kafka, and distributed data stores.
• Data Migration Execution: Develop and execute a phased 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 new data platform.
• Team Leadership & Mentorship: Lead, inspire, and mentor a high-performing team of Java and Big Data engineers to foster a culture of engineering excellence and innovation.
• Stakeholder Management: Collaborate with global business leaders, product owners, and senior technology managers to define
