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

Visa is hiring a Staff Data Platform Engineer (AWS, Databricks, Azure, IaC, Solution Architect, Devops, Java/Python, 6 - 10 Years) in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Visa](https://jobsbylevel.com/go/c02ec911-15d1-4500-bc26-225cfb36372e?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. IN - Bengaluru, India.

## Details

- Company: [Visa](https://jobsbylevel.com/companies/visa)
- AI level: AI Level 3 (score 65 out of 100)
- Location: IN - Bengaluru, India
- Posted: September 30, 2026
- Apply: https://jobsbylevel.com/go/c02ec911-15d1-4500-bc26-225cfb36372e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-data-platform-engineer-aws-databricks-azure-iac-solution-architect-devops-java-python-6-10-years-at-visa-1d5eeb

## Prepare for this job

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## Description

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 Job Summary: 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. This role requires strong expertise in cloud infrastructure, data engineering, platform engineering, automation, and data management best practices. The individual will work closely with Enterprise Architecture, Security, Product, and Engineering teams to implement enterprise-grade cloud data platform solutions that are scalable, secure, reliable, and operationally efficient. Key Responsibilities: 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. Automate infrastructure provisioning, platform deployment, and operational processes using Infrastructure-as-Code (IaC) tools such as Terraform and CloudFormation. Implement and support data governance, metadata management, lineage, security, and access management capabilities across cloud platforms. Monitor and optimize platform performance, scalability, reliability, and cost efficiency across AWS, Azure, and Databricks environments. Partner with product and application teams to onboard workloads and enable adoption of cloud platform capabilities. Troubleshoot complex production issues and drive continuous improvement in platform reliability and operational excellence. Stay current with emerging cloud, data, and platform engineering technologies and recommend improvements where appropriate. Provide technical guidance and mentorship to engineers while promoting engineering best practices and operational rigor. Qualifications Basic Qualifications: 8+ years of experience in Cloud Data Engineering, Big Data Engineering, Platform Engineering, or Data Platform Engineering. Strong hands-on experience building and operating enterprise-scale cloud data platforms. Strong expertise in cloud data platform services across AWS and Azure, including AWS EMR, EMR on EKS, Glue, Athena, S3, IAM, Lake Formation, and Azure services such as ADLS, Azure Databricks, Synapse Analytics, Data Factory, Azure Kubernetes Service, and Azure identity and access management. Hands-on experience with Databricks, Delta Lake, Unity Catalog, and Lakehouse architecture patterns. Hands-on experience designing and operating data platform solutions on at least one major cloud platform, with preference for AWS, Azure, or both. Experience migrating workloads from Hadoop-based platforms to cloud environments. Strong proficiency in Python, Scala, or Java. Hands-on experience with Infrastructure-as-Code tools such as

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Source: https://jobsbylevel.com/jobs/staff-data-platform-engineer-aws-databricks-azure-iac-solution-architect-devops-java-python-6-10-years-at-visa-1d5eeb

## Cite this page

Level. https://jobsbylevel.com/jobs/staff-data-platform-engineer-aws-databricks-azure-iac-solution-architect-devops-java-python-6-10-years-at-visa-1d5eeb.

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