Job description

Cloud computing | Cloud Architect job at Robert Half. Atlanta, GA. Cloud Azure Architect (5 days onsite) As a Cloud Architect , you will be responsible for designing, implementing, and maintaining enterprise-grade cloud solutions on Microsoft Azure . You will play a critical role in developing scalable, secure, and cost-effective cloud architectures while collaborating with development, security, and operations teams. This role requires deep expertise in Azure services , C#/.NET (ASP.NET) , cloud security , and DevOps methodologies . Additionally, experience with Snowflake , Python , and cloud-based data architectures is highly desirable. Key Responsibilities: Cloud Architecture & Development: • Design and implement highly scalable, resilient, and secure cloud architectures using Azure PaaS, IaaS, and SaaS offerings. • Develop cloud-native applications leveraging C#/.NET (ASP.NET), Azure Functions, and microservices architectures . • Define and enforce best practices for cloud development, deployment, and automation. • Create and maintain Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep . Cloud Security & Compliance: • Implement security best practices for cloud environments, including identity and access management (IAM), network security, and encryption . • Utilize Azure Security Center, Azure Sentinel, and Microsoft Defender to monitor and mitigate security threats. • Ensure cloud solutions comply with SOC 2, ISO 27001, and other industry standards . • Develop policies and strategies for data governance, access control, and security hardening . Cloud Deployment & DevOps: • Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, and PowerShell scripting . • Automate infrastructure provisioning and deployments with Terraform, Ansible, or ARM templates . • Optimize cloud resource allocation using Azure Monitor, Cost Management, and auto-scaling strategies . • Support containerization and orchestration using Docker and Azure Kubernetes Service (AKS) . Data & Analytics Integration: • Design and implement data processing pipelines using Azure Data Factory, Azure Synapse, and Snowflake . • Develop and optimize ETL/ELT workflows with Python and SQL for cloud-based data platforms. • Ensure efficient data storage and retrieval strategies leveraging Azure Blob Storage, Cosmos DB, and Snowflake . • Work closely with data engineering teams to support real-time analytics, AI/ML workloads, and data lakes . Performance Optimization & Reliability: • Monitor and enhance cloud performance, cost-efficiency, and scalability . • Implement disaster recovery and business continuity strategies using Azure Site Recovery, geo-redundancy, and backup solutions . • Conduct cloud health assessments , performance tuning , and cost optimizations to maximize efficiency. Top 3 Requirements : 1. global infrastructure experience from an Azure perspective 2. designing global performance solutions 3. Azure – or AWS rockstar who can move into Azure 4. Cloud security experience 5. Devops methodologies 6. re-platforming from cloud to cloud or on- prem to cloud 7. Cloud SME Required Qualifications: • 5+ years of experience in cloud computing with at least 1+ year in a cloud architecture role . • Strong expertise in Microsoft Azure , including Azure App Services, Azure Functions, Azure SQL, Azure Storage, and Azure Networking . • Proficiency in C#/.NET (ASP.NET) for cloud-based application development. • Experience with DevOps practices , including CI/CD pipelines, IaC, and automation . • Strong understanding of cloud security principles , identity management , and network security . • Experience with Snowflake and Python for data processing and cloud analytics. • Familiarity with Docker, Kubernetes (AKS), and microservices architectures . • Knowledge of cloud cost management and optimization strategies . • Excellent problem-solving, communication, and collaboration skills . Preferred Qualifications: • Azure Solutions Architect Expert certification or equivalent. • Experience working with hybrid cloud environments . • Knowledge of AI/ML services in Azure (e.g., Azure Machine Learning, Cognitive Services). • Strong background in high-availability and disaster recovery solutions.

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