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

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 Terraform or CloudFormation.
• Strong expertise in Spark, Hive, Hadoop ecosystem technologies, and distributed data processing frameworks.
• Experience implementing automation, CI/CD, and platform engineering best practices.
• Strong understanding of data governance, security, compliance, metadata management, and access management controls.
• Strong Linux, operating system, networking, and troubleshooting skills.
• Excellent problem-solving, communication, collaboration, and stakeholder management skills.
• Experience working with architecture teams and translating enterprise architecture designs into scalable, production-ready implementations.
• Preferred Qualifications:
• Experience building and operating multi-tenant enterprise data platforms.
• Experience with Kubernetes, EKS, containerized workloads, and modern platform engineering practices.
• Experience implementing observability, monitoring, logging, alerting, and reliability engineering solutions.
• Experience with cost governance and cloud optimization initiatives.
• Experience supporting AI/ML platforms and data science workloads.
• Experience mentoring engineers and driving engineering best practices across teams.
• Experience working on large-scale cloud transformation or modernization programs.
• 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.