Java & Big Data Engineering Lead – Markets Technology, SVP
Lead the engineering strategy behind mission-critical trading, risk, and analytics platforms as a Java & Big Data Engineering Lead within Citi's Markets Technology organization. In this role, you will architect and scale high-performance Java and Big Data platforms that power real-time analytics, AI-enabled solutions, and regulatory reporting across the Markets business. You will lead multiple engineering teams, shape cloud and data architecture strategy, and drive modernization initiatives that support business growth at global scale.
Responsibilities
Define and execute the engineering roadmap for Java, Python, cloud-native, and Big Data platforms to align technology delivery with business objectives.
Lead multiple engineering teams building Java applications, API platforms, microservices, and enterprise data services that support trading, risk, and analytics workflows.
Architect high-performance, low-latency systems that keep critical trading and operational platforms reliable under heavy volume.
Build enterprise-scale Big Data ecosystems using Spark, Kafka, Flink, Hadoop, Iceberg, Delta Lake, Pinot, and Trino to support real-time streaming and large-scale batch processing.
Partner with business stakeholders to enable advanced analytics, AI and machine learning initiatives, and regulatory reporting through data-driven platforms.
Set enterprise standards for data governance, lineage, metadata management, and data quality across engineering teams.
Champion modern engineering practices including DevSecOps, CI/CD automation, and observability to strengthen platform reliability.
Mentor senior engineers, architects, and engineering managers to build high-performing teams capable of delivering complex global programs.
Required Qualifications & Skills
10+ years of experience in software engineering, with extensive experience leading Java application development and engineering teams within a large-scale enterprise environment.
Deep expertise in Java, Spring Boot, Python, APIs, and microservices architectures.
Hands-on knowledge of building and scaling Big Data technologies such as Spark, Kafka, the Hadoop ecosystem, Iceberg, Delta Lake, Databricks, Snowflake, and Trino.
Background delivering high-volume, low-latency, mission-critical platforms in a regulated financial services environment.
Experience supporting AI and machine learning data pipelines, feature stores, and enterprise-scale analytics solutions.
Proven background architecting high-performance, low-latency systems for trading, risk, or analytics platforms.
Track record driving cloud transformation, automation, and modernization programs across engineering organizations.
Experience leading and mentoring senior engineers, architects, and engineering managers.
Background establishing engineering standards, architecture governance, and design review practices.
Experience partnering with business stakeholders to translate requirements into scalable data and analytics solutions.
Bachelor's degree or university degree in a related field or Master's degree.
What We Offer
Joining Markets Technology means shaping the future of data and analytics platforms that power global trading, risk, and regulatory decision-making at Citi.
Shape enterprise architecture and engineering strategy with direct influence over Citi's Markets Technology platforms.
Work a hybrid schedule, spending three days in the office and two days working remotely each week.
Lead and develop high-performing global engineering teams.
Access learning and development opportunities to deepen expertise in cloud, Big Data, and AI-enabled platforms.
Benefit from financial wellbeing programs designed to support long-term planning.
Collaborate with engineering and business teams across Citi's global Markets organization.
Apply today to lead the engineering strategy shaping Citi's next-generation Big Data and analytics…