Senior Manager, Data Engineer​/Card​/Client facing

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.

Data Engineer, Senior Consultant for Asia Pacific Region, is based out of Bangalore. We are looking for an individual with deep expertise in data architecture, big data/data warehousing and who can build large-scale data processing systems using the latest database and data processing technologies.

This is an AP wide market support position and plays a critical role in enabling VISA’s clients in the region with foundational data capabilities required to scale their data ecosystem to support aspects such as next generation portfolio optimization and hyper personalized marketing. Given that VISA’s clients are mostly in BFSI space, experience in banking and financial services is highly preferred.

The role is also expected to work with VISA’s market teams in AP and act as a bridge between end-users and our Visa technology colleagues in Bangalore and US, influencing the development of our global capabilities including Cloud based platforms whilst provisioning local tools and technologies as required.

This role requires good consulting, communication and presentation skills to interact and collaborate with VISA’s clients and internal cross-functional team members at varying levels.

The candidate also will be required to work on strategic client projects using VISA data which require proficiency in hands on detailed design and coding using big data technologies.

We are looking for a talented, technical, proactive, energetic, and passionate person who embraces challenges and is a proven problem solver.

Principal Responsibilities

• Act as a trusted advisor to VISA’s clients, understanding their business objectives and data challenges. Provide strategic guidance on designing and implementing scalable data architectures to support advanced analytics and marketing use cases.
• Collaborate with senior management, business units, and IT teams to gather requirements, align data strategies, and ensure successful adoption of solutions.
• Collaborate with multiple business units to understand data requirements and to integrate diverse data sources in batch and real time to create a consolidated view such as single customer view.
• Support Design, development, and deployment of robust data platforms and pipelines (on cloud and on-premises), leveraging technologies such as Hadoop, Spark, modern ETL frameworks and APIs.
• Ensure data solutions adhere to client-specific governance and regulatory requirements related to data privacy, security, and quality.
• Design target platform components, data flow architecture and capacity requirements for scalable data architecture implementation.
• Hands‑on design, development, deployment and support of strategic or bespoke client projects using big data technologies within VISA.
• Develop and deliver training materials, documentation, and workshops to upskill client teams and promote data best practices.
• Review scripts for best practices, educating user base and building training assets for beginner and intermediate users.

Technical Expertise

• Certification in Big Data architecture and platform such as Hadoop and Apache Spark preferred.
• Proven experience designing and developing large scale, production grade systems utilizing best-in-class software engineering practices, including Dev Ops, CICD pipelines, and automation technologies.
• Advanced experience in Python, PySpark scripting, SQL queries, ETL and data streaming technologies, cloud and non‑cloud based big data technologies such as Databricks, Snowflake, Sagemaker, etc.
• Experience in deployment,…