Lead Java and Apache Spark Developer - Vice President

We are looking for a   Lead/Principal Java Spark Developer   to spearhead the architectural vision and technical strategy for the transformation and modernization of Citi’s next-generation data processing platforms. This role is for a thought leader who is passionate about architecting and building highly scalable, resilient, and performant systems that solve complex business problems.

This leadership role is ideal for a seasoned expert who thrives on technical challenges, enjoys setting the technical direction, and is motivated to establish and evangelize engineering best practices across teams. While this is a strategic leadership position, it requires a significant   hands-on contribution to coding, design, and implementation . You will be a key driver of innovation, responsible for architecting and delivering mission-critical, production-grade solutions, while mentoring teams to elevate the platform's performance, reliability, and development standards.

Responsibilities:

• Architectural Design:   Define and drive the architectural vision and strategy for large-scale data processing platforms, ensuring alignment with business goals.

• Technical Leadership:   Guide and mentor a team of developers, setting high standards for code quality and engineering excellence while fostering a culture of innovation.

• Hands-on Development:   Actively participate in the coding, implementation, and peer review of complex modules and core framework components to lead by example.

• Strategic Solutioning:   Translate complex business requirements into robust, secure, and efficient technical solutions, setting the standard for the engineering organization.

• Code Excellence:   Champion and enforce best practices for writing modular, testable, and maintainable code, rooted in expert knowledge of OOP principles and design patterns.

• System Optimization:   Lead efforts to continuously refactor and optimize applications for performance, scalability, and maintainability at an enterprise scale.

• High-Level Collaboration:   Collaborate with senior stakeholders, product owners, and other technology leaders to define roadmaps and ensure high-quality delivery.

• Innovation:   Drive the evaluation and adoption of new technologies and methodologies to keep the platform at the cutting edge.

• Influence and Leadership:   Provide thought leadership and influence technical design and decisions across the organization.

Recommended Qualifications:

• 10+ years   of hands-on experience in   Big Data development , with expert-level proficiency in   Java and Apache Spark .

• Domain Knowledge:   Strong understanding of   Funds Transfer Pricing (FTP)   processes and financial systems is required.

• Expert-level knowledge   of object-oriented programming, advanced design patterns, and clean coding practices.

• Proven track record   of architecting, building, and optimizing large-scale, mission-critical distributed data processing systems.

• Extensive experience   with   REST APIs, RDBMS, and Kafka   or similar messaging systems.

• Deep experience with   microservices architecture and containerization technologies (Docker/Kubernetes) .

• Significant experience working in and leading teams within   Agile environments , demonstrating strong collaboration and ownership.

• Proven ability to lead technical teams and mentor engineers to achieve technical excellence.

• Extensive experience with   Databricks   is highly preferred.

• Deep familiarity and experience with building   AI-powered solutions / AI agents .

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group

Technology
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Job Family

Applications Development
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Time Type

Full time
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Most Relevant Skills

Please see the requirements listed above.
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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.
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