Cloud Architect Position Available In Fulton, Georgia

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Company:
Robert Half
Salary:
JobFull-timeOnsite

Job Description

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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