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.