Senior Manager, Platform Engineering

Visa's Data Trust & Platform Engineering (DTPE) organization delivers the foundational platforms that power Visa's enterprise data, analytics, AI, and cloud ecosystem. We are seeking an experienced Senior Manager, Platform Engineering to lead a team of highly skilled engineers responsible for building, operating, and modernizing critical platform services that power Visa's data, analytics, and AI ecosystem.

Key Responsibilities:

• Technical & Platform Leadership:

+ Lead the design, development, deployment, and operation of large-scale platform engineering solutions supporting analytics, AI, data processing, and enterprise workloads. + Drive architecture and implementation of highly scalable, reliable, secure, and cost-efficient platform services. + Partner closely with architects, principal engineers, and product stakeholders to define technical roadmaps and engineering priorities.

• Cloud & Data Platform Engineering:

+ Lead adoption of cloud-native technologies across AWS, Azure, Kubernetes, Databricks and modern platform engineering ecosystems. + Drive development of reusable platform services for data engineering, analytics, AI/ML workloads, and enterprise applications.

• Engineering Delivery & Operational Excellence:

+ Own engineering execution, service delivery, platform availability, and customer commitments. + Drive continuous improvements in reliability, scalability, incident reduction, and operational maturity.

• Generative AI & Intelligent Engineering:

+ Drive adoption of GenAI-powered engineering capabilities including AI-assisted development, code generation, intelligent troubleshooting, and operational automation.

• People Leadership:

+ Lead, mentor, and develop high-performing engineering teams across multiple locations. + Drive hiring, talent development, performance management, and career growth for engineers and technical leads.

Qualifications:

• Basic Qualifications:

+ 10+ years of software engineering, platform engineering, cloud engineering, infrastructure engineering, or data platform engineering experience. + 3+ years of experience leading engineering teams and delivering large-scale enterprise platforms. + Strong hands-on experience designing and operating distributed systems in production environments. + Experience with cloud platforms such as AWS and/or Azure.

• Preferred Qualifications:

+ Cloud & Infrastructure:

• Strong knowledge of AWS services such as EKS, EC2, S3, EMR, Glue, Lambda, ECS, and IAM.
• Strong knowledge of Databricks services

+ Data Platform Engineering:

• Experience operating enterprise-scale data platforms.
• Knowledge of Hadoop, Spark, Trino/Presto, Kafka, Databricks, Snowflake, Delta Lake, Iceberg, or similar technologies.