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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