Cloud Data Platform Engineer

A client in the Pacific Northwest is looking for a Cloud Data Platform Engineer to join their team! This position is a full-time direct hire role that will be a hybrid onsite set up. In this role you will be helping this organization with their transformation as they move further into Azure. The technology stack that you will be working with in this role includes but is not limited to: Azure, AKS - Azure Kubernetes, Terraform, Synapse, Fabric, Data Factory, PostgreSQL, ETL, and more. In this role we are looking for someone who is exceptionally strong with cloud and understands cloud concepts and can work on the cloud engineering team and partner with the Data Team and has a strong understanding of cloud data platform engineering with data architecture within Azure. If this sounds like a role of interest, please apply today.

5+ years as a Cloud Engineer with a focus on designing, implementing, and managing a cloud native data platform in Azure

Experience understanding Data Engineering principals to support Azure Database Services, focused on PostgreSQL-based solutions, Synapse, Data Factory, and integration points with Microsoft Fabric to support and optimize Azure Data Services

Strong experience with SQL, query optimization and performance analysis

Experience with IAC: Terraform preferred, Bicep, ARM

Understanding Data Engineering Workloads (ETL, Pipelines, Large Datasets)

Understanding of CI/CD DevOps processes and release management

Experience supporting data platforms at scale in cloud environments Experience with Lakehouse Architectures and modern data platforms

Experience with streaming and messaging technologies: Kafka, Event Hubs, Service Bus

Scripting Experience or Development experience with: Python, PowerShell, Bash

Experience working in SRE or highly operational environments