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Professional
Lead Java Big Data Engineer Vice President
Professional
Pune•On-site•10-13 Yrs•3 hours ago
Job description
Overview
Join Citi's Oasys Financial team as a Vice President and Lead Engineer to spearhead a critical, multi-year data transformation.
Responsibilities
- Architectural Leadership: Define the end-to-end architectural vision and technical roadmap for migrating from Sybase IQ to a modern Big Data platform, ensuring solutions are scalable, resilient, and secure.
- 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 comprehensive, phased strategy for migrating petabytes of 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 that interact with the new data platform, ensuring seamless integration with the broader Oasys application ecosystem.
- Team Leadership & Mentorship: Lead, inspire, and mentor a high-performing team of Java and Big Data engineers. Foster a culture of engineering excellence, innovation, and accountability.
- Stakeholder Management: Partner with global business leaders, product owners, and other senior technology managers to define requirements, manage expectations, and deliver solutions that drive significant business value.
- Hands-On Contribution: Remain deeply technical and contribute to coding, design, and architectural decisions, leading by example.
Qualifications
- Java Expertise: Proven track record of designing and building complex, high-performance, scalable server-side applications using Java.
- Big Data Expertise: Deep, hands-on experience with the Big Data ecosystem, including mastery of Apache Spark, Hadoop (HDFS), and real-time data streaming with Kafka.
- Data Warehousing & Databases: Extensive experience with relational databases, data modeling, and data warehousing concepts.
- Leadership: Demonstrated experience leading and mentoring technical teams and successfully delivering complex, large-scale data projects from concept to production.
Education
- Data Migration: Proven, hands-on experience leading a successful migration from a legacy data warehouse (e.g., Teradata, Netezza, Sybase IQ) to a modern Big Data platform.
- Cloud Data Platforms: Experience with cloud-native data services on platforms like AWS (EMR, S3, Glue), Google Cloud Platform (Dataflow, BigQuery), or Azure.
- Modern Java Ecosystem: Expertise in the Spring Boot framework, microservices architecture, and containerization technologies (Docker, OpenShift).
- AI-Assisted Development: Experience using AI-powered development tools (e.g., GitHub Copilot, Claude, Devin) to accelerate development and improve code quality.
- Financial Domain: Knowledge of financial systems, particularly in trade processing, accounting, risk, or sub-ledger functions.
- Architectural Ownership: Own the technical strategy and architecture for a business-critical data transformation at one of the world's leading financial institutions.
- Strategic Impact: Your work will directly enable new analytical capabilities, improve performance, and reduce operational risk for a platform processing millions of trades daily.
- Leadership Opportunity: Build and lead a world-class engineering team, shaping its culture and technical direction.
- Career Growth: As a Vice President at Citi, you will have unparalleled opportunities for career advancement and access to extensive professional development resources.
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