Data Platform Engineer- Azure

Job Title: Senior Data Platform Engineer

Location: San Jose CA (Hybrid) | Type: Contract (C2C)

About the Role
We’re looking for a Senior Data Platform Engineer to design, deploy and operate a lakehouse data platform on Kubernetes in Microsoft Azure. You’ll own the infrastructure behind Apache Iceberg, Trino and Spark, and work with data engineers and analysts to keep the platform fast, reliable and cost-efficient.

Key Responsibilities

• Deploy and operate data platform services on Kubernetes in Azure
• Build and manage Iceberg lakehouse infrastructure on ADLS (catalog, table maintenance, schema evolution, partitioning)
• Operate and tune Trino and Spark clusters
• Build DBT transformation pipelines
• Enforce data access, security and governance standards
• Set up monitoring, alerting and incident response
• Automate with infrastructure-as-code and CI/CD

Required Skills

• Strong hands-on Kubernetes, including stateful and distributed workloads
• Strong hands-on Azure, including ADLS
• Apache Iceberg and REST catalogs
• Trino and Spark expertise
• DBT
• Lakehouse architecture, Parquet/ORC and query optimization

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