Jobs → Data & Analytics → Data Platform Engineer

About the Role We are looking for a Data Platform Engineer to join our team. This role focuses on designing, deploying, and operating data platform services on Kubernetes in Microsoft Azure. Key Responsibilities • Design, deploy, and operate data platform services on Kubernetes in Microsoft Azure • Build and manage lakehouse infrastructure on Apache Iceberg backed by ADLS, including catalog configuration, table maintenance, schema evolution, and partitioning strategy • Operate and tune Trino and Spark clusters for performance, reliability, and cost efficiency • Develop and maintain data transformation pipelines using DBT, with sound modeling, testing, and documentation practices • Define and enforce standards for data access, security, governance, and multi-tenant resource management across ADLS and query engines • Implement observability for the platform, including monitoring, alerting, capacity planning, and incident response • Partner with data engineers, analysts, and platform teams to onboard workloads and resolve performance bottlenecks • Automate infrastructure and deployments using infrastructure-as-code and CI/CD Requirements • Experience with Azure, ADLS, Apache Iceberg, Azure Kubernetes (AKS), Spark, DPT, CI/CD • Strong understanding of data platform services and Kubernetes • Experience with data transformation pipelines and DBT • Knowledge of observability, monitoring, and incident response • Familiarity with infrastructure-as-code and CI/CD practices