Cloud Data Platform Engineer

Job Description 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 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