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Added 1 min ago
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Urology Physician – Physician Practice Ownership Opportunity
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Ability to obtain professional liability coverage and other required insurance at standard market rates
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Allergy and Immunology Physician – Physician Practice Ownership Opportunity
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Ability to obtain professional liability coverage and other required insurance at standard market rates
Added 3 mins ago
CH
Access to Care Coordinator - Waterbury, CT - Bilingual (English/Spanish) Required
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Java Big Data Engineering Lead Markets Technology SVP

United States

$176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. · Full-time

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Job details

Pay: $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
Job type: Full-time
Experience: 10+ years of experience in software engineering, with extensive experience leading Java application development and engineering teams within a large-scale enterprise environment.
Posting language: English
Posted: Nov 9, 2026

Original job description

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 platforms.

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Job Family Group:

Technology------------------------------------------------------

Job Family:

Applications Development------------------------------------------------------

Time Type:

Full time------------------------------------------------------

Primary Location:

Rutherford New Jersey United States------------------------------------------------------

Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------

Anticipated Posting Close Date:

Nov 16, 2026------------------------------------------------------ Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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More about this job

Skills

Oracle Java
Data engineering
Reporting
Python
Microservices
Apache Spark
Apache Kafka
Apache Hadoop
CI/CD
Spring Boot
Databricks
Snowflake
Machine learning
Coaching
Decision making

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