Sr. Manager; Data Engineering

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

Role Summary:

The Senior Manager, Data Engineering, provides people leadership and deep technical direction for the Visa Client Exchange Cloud Platform and Clean Rooms, a strategic FY27 priority. The role leads the engineering journey from pilot to production, enabling secure, scalable, privacy-preserving data collaboration and reliable data exchange across on-premises and cloud environments.

Providing technical guidance across the Frontier Agentic Squad’s and extending platform leadership coverage across multiple region, this leader translates business priorities into architecture decisions, engineering roadmaps, and dependable production services. Success is measured through business opportunities enabled, platform reliability, delivery quality, and the growth and independence of engineering teams.

This is a technically engaged management role requiring the credibility to challenge designs, review critical code, guide complex incident resolution, and develop technical leads without becoming a delivery bottleneck. The Senior Manager partners with Product, Architecture, Operations and Infrastructure (O&I), Cybersecurity, Risk, Privacy/Legal, and Finance to balance customer commitments, security, privacy, cost, and sustainable execution.

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:

- Own the technical roadmap and production delivery of VCDEP Clean Rooms and the cloud platform, aligned to customer and business outcomes.
- Guide architecture across AWS, Snowflake, and Databricks, balancing scalability, reliability, performance, security, and cost.
- Oversee high-volume data exchange between on-premises and cloud platforms, ensuring data quality, interoperability, and failure recovery.
- Embed privacy, security, query governance, and data lifecycle controls into platform design and operation.
- Drive operational excellence through clear service-level objectives, observability, incident management, and tested disaster recovery.
- Establish engineering standards for code quality, testing, CI/CD, security remediation, and safe platform upgrades.
- Hire, coach, and develop engineers and technical leads, fostering inclusion, accountability, and technical excellence.
- Provide technical leadership across squads, clarify ownership, resolve disagreements, and reduce single-person dependencies.
- Partner with Product, Architecture, Operations, Security, Risk, Privacy/Legal, and Finance to manage priorities, risks, and delivery commitments.
- Lead responsible adoption of AI-assisted and agentic engineering workflows, with human oversight and measurable improvements in 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 and a bachelor’s degree, OR 11+ years of relevant work experience.
- Experience leading engineering teams delivering large-scale data platforms or distributed systems, including production ownership, coaching, performance development, and cross-team technical guidance.
- Demonstrated technical depth in cloud architecture and data engineering, with substantial experience in at least one of AWS, Snowflake, or Databricks and the ability to evaluate cross-platform integration trade-offs.
- Experience designing and operating high-volume data pipelines, ETL/ELT processes, and distributed processing systems, including data validation, performance optimization, failure recovery, and idempotent processing.
- Working proficiency in Python and SQL, with the ability to review production code and guide testing, API design, version control, CI/CD, and secure development practices.
- Experience implementing secure data access, encryption, auditability, and data lifecycle governance in partnership with security, risk, privacy, or compliance teams.
- Experience troubleshooting complex production issues and establishing monitoring, operational documentation, incident response, and reliability improvements.
- Demonstrated ability to develop technical leads, delegate ownership, resolve disagreements, and influence teams outside direct reporting lines.
- Experience translating business needs into technical roadmaps and measurable outcomes, with clear communication of architectural trade-offs and individual versus team contributions.
- Digital fluency and the ability to evaluate AI-assisted engineering workflows for usefulness, quality, security, and appropriate human oversight.

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 cloud platforms and services (e.g., AWS, Azure, GCP) for data engineering solutions.
- Experience scaling self-service platform capabilities, establishing multi-squad operating models, and leading geographically distributed teams in a matrixed organization.
- Experience deploying AI-assisted or agentic engineering workflows with demonstrated productivity or quality improvements and effective security, review, and audit controls.

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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.