Senior Manager, Data Engineering

We are seeking a Senior Manager, Data Engineering to provide people leadership and deep technical direction for the Visa Client Exchange Cloud Platform and Clean Rooms. This is a strategically important role that will lead the engineering journey from pilot to production, enabling secure, scalable, privacy-preserving data collaboration and reliable data exchange across on-premises and cloud environments.

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.

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.