Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets. TheFixed Income Data Platform Teamis the foundational pillar of this mission, engineered to provide the low latency, high concurrency, scalability, and unparalleled availability required for our groundbreaking solutions. Our Data Platform Engineering team operates at the forefront of innovation, constantly researching, adapting, and strategically deploying the latest open-source data platforms to meet Citi's unique and evolving needs. We are a collaborative, high-performing group dedicated to solving complex technical challenges and building highly performant, resilient systems.
We are seeking aVice President, Lead Data Platform Engineerto provide deep technical expertise, hands-on contribution, and direct coaching to our talented engineering team. This role is pivotal in driving the technical design, development, and implementation of Citi's next-generation data platform, with a critical focus onarchitecting complex streaming solutions, robust data pipeline architectures, and scalable microservices. This platform empowers quantitative scientists and traders to rapidly iterate on and deploy cutting-edge analytical and trading tools. We are looking for a polyglot expert who can directly contribute across diverse technology stacks, guide technical direction, and elevate the skills of junior engineers through direct technical leadership.
Key Responsibilities:
- Hands-on Technical Leadership & Coaching:Provide technical leadership through direct code contribution, architecture review, and hands-on guidance to junior and mid-level data engineers, fostering a culture of technical excellence and continuous learning across polyglot environments.
- Drive & Implement Architecture & Design:Directly contribute to and drive the technical design and hands-on development of highly scalable, low-latency, fault-tolerant data pipelines, real-time streaming platforms (e.g., Flink), and microservices architectures.
- Platform Infrastructure & Operations Deep Dive:Actively participate in the strategic planning, setup, enhancement, migration, and operational excellence of critical platform infrastructure, including distributed streaming (Flink) and high-performance caching solutions (Redis).
- Open Source & Emerging Technologies Evaluation:Continuously research, evaluate, and prototype emerging open-source data and streaming technologies, leading their integration into Citi's data platform through direct implementation. This includes evaluating new streaming frameworks and caching solutions.
- Performance & Resilience Optimization:Proactively identify and implement architectural and systemic performance optimizations to ensure optimal efficiency, responsiveness, and resilience across the entire data platform, including Flink and Redis clusters.
- Cross-Functional Technical Collaboration:Collaborate closely with senior technical stakeholders across engineering, data science, and business teams to translate complex technical requirements into robust, high-impact implementations.
- Delivery & Code Quality Assurance:Drive the timely, high-quality, and secure delivery of data platform features, championing agile methodologies, engineering best practices, and ensuring accountability for code quality and robust testing.
- Technical Problem Solving:Act as a primary escalation point for complex technical challenges, providing expert diagnosis and hands-on resolution.
- Operational Flexibility:May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities to support critical platform operations.
Qualifications:
- 10+ years of demonstrable and highly hands-on experience in software development, with at least 3-5 years in a lead technical contributor or staff engineer role within a >------------------------------------------------------
Job Family Group:
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Job Family:
Applications Development------------------------------------------------------
Time Type:
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Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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