Lead Data Engineer- GenAI

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

About the Team:

GenAI Knowledge Assets is a new initiative within the Data and AI Platform organization. The Lead Data Engineer will play a key role in designing and developing an enterprise-level solution for GenAI Knowledge Assets. This includes developing a business strategy, building knowledge management orchestration, and leading metadata repository design, building Taxonomy by integrating various tools, product development to create value for all the Visa GenAI solutions.

Essential Responsibilities: 

• You will leverage sound architectural principles to implement effective and efficient solutions. 

• You will be a lead working with other developers on building applications from scratch to pushing them into production. 

• You will explore and evaluate emerging technologies, prototype, and strategize its adaptation within Visa. 

• You will lead code reviews, and deliver high quality code  

• Support production systems and constantly improve our user experience. 

• Follow established software development guidelines and Visa security standards 

• Build and maintain relationships with the agile team, the user community, architects, and support teams to understand requirements and implement effective solutions 

• This role requires you to be hands-on coding at least 60% of the time in your preferred coding language - open to Java, Python, Spark, Golang.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications
• 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications:
• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 15+ years of experience leading product development and delivery using
multiple technologies - Java/J2EE, Spring MVC, Spring Boot, Angular,
JavaScript, MySQL, Maven, design patterns, test automation frameworks
• Good understanding and experience leading GenAI Knowledge Assets related initiatives.
• Experience leading design and development of mission-critical, secure, reliable
systems
• Experience leading design & development of data-centric solutions - Knowledge management / GenAI solutions, Metadata and Onyology / Taxonomy solutions.
• Strong experience with agile methodologies & software development lifecycle
principles
• Excel in partnering with Product leaders and technical product managers on
requirements workshops, helping define joint product/technology roadmaps &
driving prioritization

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, includ