About Us

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

The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. This role is responsible for establishing processes, automations, and big data systems based on business and technical requirements, ensuring data quality, troubleshooting user issues in large distributed systems, and creating machine learning pipelines. The Senior Manager acts as a leader for engineering teams, removing blockers, enabling productivity, and fostering an inclusive, high-performance culture. The role also involves coaching and developing engineers to adapt to evolving tools, frameworks, and AI-driven workflows, and partnering closely with product managers, QA, risk, compliance, and security functions to deliver safe, transparent, and customer-centric solutions.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:

• Provide hands-on technical leadership and mentoring to a team of 8-10 engineers, delivering robust, scalable solutions on time

• Serve as technical lead for some of the products in the organization — driving planning, architecture, hands-on development, and technical direction

• Own customer engagement for assigned products: manage customer expectations, drive adoption, and act as the primary technical point of contact

• Lead the design and implementation of secure, reliable, and performant systems that meet the platform's functional needs

• Build and promote an agile, high-quality engineering culture across design, development, and production deployment

• Partner with geographically distributed teams to resolve technical challenges and improve processes

• Drive knowledge sharing with Operations teams during and after deployment

• Champion innovation by evaluating and adopting technologies and practices — including GenAI — that improve productivity and quality 

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
• 3+ years of relevant work experience managing engineering teams 
• 5+ years of experience with Big Data technologies (Hive, Hadoop, Spark) 
• 5+ years of experience with Java, Scala, or Python; able to write clean, production-quality prototypes and core components quickly 

Preferred Qualifications:

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Experience with Graph databases and RESTful APIs 
• Hands-on experience applying GenAI and LLMs in data engineering, including leading initiatives that use GenAI to improve team efficiency 
• Proven track record leading large-scale projects with quantifiable business outcomes, from inception to delivery 
• Strong leadership and team-building skills, including mentoring and growing junior engineers 
• Skilled at setting technical goals with measurable success metrics, including evaluating services from a user-experience perspective 
• Results-oriented and self-motivated, with a strong learning mindset and current knowledge of data-domain trends, technologies, and best practices 
• Excellent verbal, written, and presentation skills, with the ability to communicate architectural concepts clearly across all levels of the organization, including executive management 
• Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for data engineering solutions.
• Experience with machine learning and AI-powered data solutions.
• Experience in developing large-scale, enterprise-class distributed systems of high availability and low latency.
• Experience in leading cross-functional teams in a matrixed organization.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.