Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa's Data Platforms organization is responsible for the foundational data ecosystem that powers some of the company's most critical business capabilities. Our teams manage the large-scale platforms that support authorization, clearing, settlement, and other core payment data domains, while enabling the next generation of data products, analytics, and business insights across Visa.
As a Senior Data Engineer (Sr. Consultant internal title at Visa), you will help design and build platforms that process and manage data at petabyte scale, ensuring it is accessible, reliable, secure, and optimized for a wide range of internal and customer-facing applications. You will work with distributed data systems, modern data engineering technologies, and cloud-scale architectures to solve highly complex data challenges that directly support Visa's global operations.
This role sits within a cross-functional Agile team responsible for developing scalable data solutions, modernizing data delivery capabilities, and advancing Visa's Master Data Management and Data Platform initiatives. You will play a key role in driving technical excellence, influencing platform architecture, mentoring engineers, and delivering solutions that enable teams across Visa to discover, access, and leverage data more effectively.
All roles require digital fluency, including the ability to leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, ChatGPT, and LLM-powered engineering solutions) to improve productivity, innovation, and software delivery practices.