Lead Data Engineer

 The Data and Artificial Intelligence Platform (DAP) is a critical component of Visa's Technology organization, providing the essential technology and processes to manage Visa's extensive data and AI assets and deliver valuable intelligence, products, and services to customers.  Within DAP, the Data as a Service (DaaS) team consists of skilled data engineers focused on building data pipelines to meet Visa's data needs and delivers secure, high-quality, and easy-to-use Visa core data assets.  We are seeking a Lead Data Engineer who will play a crucial role in developing next-generation enterprise-level data pipelines and data assets for Real Time and Batch Data ingestion and processing, incorporating Agentic AI to support Visa's 2030 strategy.  In this role, you will collaborate with business partners, scrum masters, data engineers, and operations across the company to tackle complex, high-impact data-related initiatives on a global scale. You will also guide and mentor junior engineers, ensuring security, scalability, performance, and reliability in all data solutions. As an individual contributor based in Foster City, California, USA you will be reporting to Sr. Director of Data as a Service (DaaS) team.About the Role:Oversee the entire data lifecycle, from data acquisition and ingestion to transformation, storage, and governance for both streaming and batch data pipelines and assets.Lead the analysis, design, development, and implementation of various initiatives, with end-to-end ownership to deliver business capabilities.  Ensure data security, privacy, governance, and compliance with all relevant regulations, and develop and implement auditable policies and procedures.Actively contribute with hands on development to critical projects by developing reusable modules, core frameworks and automation tools.Develop new products iteratively by building quick Proofs of Concept (POCs) and converting ideas into real products. Establish engineering best practices for application development, testing, deployment and monitoring.Champion the adoption of GenAI and Agentic AI technologies and develop strategies to integrate them into existing data pipeline workflows or develop new ones.Leverage AI/ML technologies in bringing productivity across the SDLC phases.Provide technology leadership and motivate a high performing team of data engineers through coaching and mentoring and elevate team talent expertise fostering a culture of innovation and continuous learning.Adhere to Visa's Leadership Principles by promoting collaboration, encouraging constructive debate, and executing with excellence.This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.