Lead Java and Apache Spark Developer - Vice President
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What you'll do
- 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.
What they're looking for
- 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.
- Bachelor’s degree/University degree or equivalent experience
Nice to have
- Extensive experience with Databricks is highly preferred.
- Deep familiarity and experience with building AI-powered solutions / AI agents.
- Master’s degree preferred
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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------------------------------------------------------
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.------------------------------------------------------
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Company
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