Cloud Engineer II

Roles and Responsibilities

• 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.

Required Qualifications

• 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.
• 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.