Lead Data Engineer (15 years, GenAI, Cloud)

Visa is building a next-generation Agentic AI and Data Platform to enable intelligent automation, adaptive workflows, and data-driven decision-making across our Risk and Identity services ecosystem.

As a Lead Data Engineer, you will serve as a strategic technical leader, architecting, scaling, and optimizing enterprise-wide data platforms. You will drive innovation, set technical direction, and mentor a high-performing team to deliver robust, secure, and high-quality data solutions that power business-critical analytics and applications across the organization.

Key Responsibilities

Technical Leadership & Strategy

• Define and drive the data engineering vision, strategy, and roadmap in alignment with business goals.
• Architect and oversee the design of complex, distributed data systems, ensuring scalability, reliability, and security.
• Establish and enforce technical standards, best practices, and governance for data engineering across teams.
• Advise on technical specifications and collaborate with product owners, business partners, and cybersecurity teams to clarify requirements and dependencies.

Team Leadership & Mentoring

• Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, accountability, and continuous improvement.
• Conduct regular code and design reviews, promoting clean, efficient, and maintainable code.
• Champion professional development and knowledge sharing within the team.

Project & Stakeholder Management

• Own end-to-end delivery of large-scale data engineering projects, including prioritization, planning, and stakeholder management.

• Track external commitments and ensure timely delivery of features and enhancements.

• Identify and drive opportunities for process improvements and automation.

Technical Excellence & Innovation

• Resolve complex technical issues and make impactful decisions that shape the future of data engineering at the enterprise level.
• Lead the evaluation and adoption of emerging technologies (e.g., cloud platforms, streaming, ML/AI integration).
• Ensure production systems are robust, performant, and meet SLAs.
• Proactively identify and resolve bottlenecks.

Cross-Functional Collaboration

• Work closely with senior engineers, architects, and product managers to develop innovative solutions for new product development.
• Collaborate with business and analytics teams to deliver data products that unlock business value.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.