Solution Architect Cloud Technology AWS Azure GCP VEEVA

Job Description Role: Solution Architect (Cloud Technology- AWS, Azure, GCP) Duration: Long Term Location: Raritan, NJ- 3 days Onsite Role Overview NOTE- Must have experiance in Regulatory Domain with some exp in VEEVA The Solution Architect (Cloud Technology) will be responsible for designing and implementing scalable, secure, and resilient cloud solutions that meet business needs. This role involves deep expertise across cloud platforms such as AWS, Azure, and Google Cloud (GCP) and requires the ability to guide organizations in their cloud journey. The Solution Architect will work closely with cross-functional teams, including developers, DevOps engineers, and business stakeholders, to ensure cloud architecture aligns with the organization’s strategic goals. Required Experience: 10 years of experience in IT architecture, with at least 5 years focusing on cloud solutions architecture. Strong hands-on experience architecting and deploying applications on AWS, Azure, and GCP. Proven experience with cloud migration projects and designing hybrid cloud environments. Experience in creating and maintaining complex multi-cloud architectures for large enterprises. Expertise in cloud-native technologies such as serverless (AWS Lambda, Azure Functions), containerization (Kubernetes, Docker), and microservices architectures. Knowledge of Governance and Compliance frameworks. Technical Skills : AWS: Experience with key services like EC2, RDS, S3, Lambda, IAM, CloudFront, and VPC design. Azure: Proficiency in Azure Virtual Machines, Azure DevOps, Azure Functions, Azure SQL Database, and Azure Kubernetes Service (AKS). GCP: Familiarity with Compute Engine, BigQuery, Cloud Functions, and GKE (Google Kubernetes Engine). DevOps & Automation: Experience with CI/CD tools such as Jenkins, GitLab, and cloud automation tools like Terraform, Ansible, CloudFormation. Security & Networking: Strong knowledge of cloud networking concepts (VPC, Subnets, VPN, DNS), IAM, encryption, and identity management solutions. Monitoring & Logging: Familiarity with cloud monitoring tools (e.g., AWS CloudWatch, Azure Monitor, Google Stackdriver) and logging frameworks. Database: Knowledge of both SQL and NoSQL databases such as DynamoDB, CosmosDB, and Cloud SQL. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer. Strong problem-solving and analytical thinking with experience in delivering strategic data solutions. Excellent communication skills to interact with both technical and non-technical stakeholders. Thanks & Regards, Qualifications: Additional Information All your information will be kept confidential according to EEO guidelines.