Staff Data Platform Engineer (AWS, Databricks, Azure, IaC, Solution Architect, Devops, Java/Python, 6 - 10 Years)

About the role

We are seeking a highly skilled and experienced Staff Cloud Platform Engineer to join our dynamic Data Platform team. The successful candidate will be responsible for building, implementing, and operating cloud-based data platform capabilities that support Visa's large-scale migration of analytical and AI/ML workloads from open-source Hadoop platforms to AWS, Azure, and Databricks.

What you'll do

• Design, develop, and maintain scalable, secure, and reliable cloud-based data platform services across AWS, Azure, and Databricks
• Collaborate closely with Architecture, Product, Security, and Engineering teams to implement enterprise-grade cloud data platform solutions
• Build and enhance reusable platform capabilities, self-service onboarding solutions, and engineering frameworks that accelerate cloud adoption
• Implement data integration pipelines and processing frameworks to ingest, transform, and manage large volumes of structured and unstructured data
• Support migration and modernization of data, analytics, and AI/ML workloads from Hadoop-based platforms to AWS, Azure, and Databricks

What you need

• 8–14 yrs of experience
• AWS
• Terraform
• Azure
• Python
• Databricks
• Java
• Any graduate

Good to have

• Kubernetes
• CI/CD
• Linux
• Hadoop
• IAM
• Unity