Citi
Data Engineering Lead (SVP)
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Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.
Role Overview
Part of the Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm’s strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.
The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform.
Responsibilities:
- Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled.
- As platform landscape evolved towards cloud-native, AI enabled and highly scalable architecture, there is need for dedicated senior engineering capability to design, implement and optimise Databricks/AWS-based data solutions across GRU tech space.
- Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation.
- Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals.
- Consult with end users to identify system function specifications and incorporate into overall system design.
- Allocate work, and act as an advisor/coach developers, analysts, and new team members.
- Influence and negotiate with senior leaders and communicate with external parties.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
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Skills & Experience
Essential
- Proven in-depth commercial experience in the following key areas:
- Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.
- Apache Spark & Scala – High-performance distributed data processing and optimisation.
- Cloud Data Engineering (AWS) – Cloud-native data platforms and distributed computing.
- Data Services Architecture & Engineering – Distributed processing, reprocessing, streaming and scalable data services.
- Engineering Architecture & Technical Delivery – Solution architecture, engineering governance, CI/CD and technical leadership.
- Experience in implementing projects.
- Experience in systems analysis and programming of software applications.
- Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development.
- Demonstrated knowledge of client core business functions.
- Demonstrated leadership, project management, and development skills.
- Relationship and consensus building skills.
Preferred
- Kafka / Event-Driven Architecture
- Apache Iceberg / Delta Lake
- Python
- AI/ML & LLM integration
- Financial Services / Capital Markets
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Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
What we’ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- 27 days annual leave (plus bank holidays)
- A discretional annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
- Access to an array of learning and development resources
Visit our Global Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
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Job Family Group: Technology
Job Family: Applications Development
Time Type: Full time
Most Relevant Skills Please see the requirements listed above.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
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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