Cloud Engineer II

Cloud Engineer IIThe Cloud Engineer II will design, implement, and support cloud-native platform and data solutions in Azure, with moderate to high complexity. This role is expected to operate independently across day-to-day engineering tasks, with strong hands-on responsibility for Azure infrastructure, Azure Databricks environments, SQL-based data processing, and secure cloud connectivity. The engineer partners across infrastructure, security, analytics, and application teams to improve platform reliability, automation, performance, and networking integration., * Design, implement, and maintain scalable Azure-based infrastructure and data platform components.

• Build, support, and optimize Azure Databricks workspaces, notebooks, jobs, clusters, and integrations.
• Develop and tune SQL queries, stored procedures, views, and data validation logic supporting analytics and operational workloads.
• Implement and support Azure networking and connectivity patterns including VNets, subnet design, NSGs, private endpoints, service endpoints, DNS dependencies, and hybrid connectivity coordination.
• Troubleshoot connectivity issues across Azure infrastructure, Azure Databricks, storage accounts, SQL services, identity controls, and integration points.
• Implement infrastructure and configuration changes using Infrastructure as Code and CI/CD pipelines.
• Monitor platform performance, reliability, cost, and connectivity health; recommend and execute improvements.
• Partner with data engineering and analytics teams on ingestion, transformation, and operationalization of data solutions.
• Apply security, compliance, and governance controls across Azure resources, data services, and network access patterns.
• Create technical documentation, runbooks, support models, and implementation standards.
• Mentor junior engineers and contribute to engineering best practices.

• Bachelor's degree in a related field or equivalent experience.
• 3-6 years of experience in cloud engineering, infrastructure engineering, or data platform engineering.
• Strong hands-on experience with Microsoft Azure core services.
• Practical experience administering and supporting Azure Databricks in production environments.
• Strong SQL skills, including query optimization, data modeling support, transformation logic, and troubleshooting.
• Working knowledge of Azure networking, including VNet integration, subnetting, NSGs, private endpoints, secure service connectivity, and connectivity troubleshooting.
• Experience with Python and/or PowerShell for automation and operational support.
• Experience with Infrastructure as Code tools such as Terraform, Bicep, or ARM.
• Understanding of cloud networking, IAM, monitoring, backup/recovery, and platform security controls.
• Ability to work independently and collaborate across technical teams.

Preferred Qualifications

• Experience with Azure Data Factory, Synapse, Event Hubs, or Delta Lake.
• Familiarity with data pipeline orchestration, DevOps practices, and release automation.
• Exposure to hybrid connectivity patterns involving VPN, ExpressRoute coordination, or enterprise DNS integration.
• Azure Administrator, Azure Data Engineer, or similar certification.
• Experience in regulated, enterprise, or production-critical environments.

Be an Early Applicant In-Office Golden, CO, USA 103K-136K Annually Mid level In-Office Golden, CO, USA 103K-136K Annually Mid level The Cloud Engineer II will design, implement, and support cloud solutions on Azure, focusing on reliability, performance, and security. Responsibilities include managing Azure infrastructure, optimizing SQL data processing, troubleshooting issues, and mentoring junior engineers. The summary above was generated by AI

It's exciting to work for a company that makes the world measurably better.

We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing., Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.