LiveFull-timeApply by 1 Nov 2026
Senior Cloud Architect
Princeton, NJ, United States
- Experience
- 12–30 years
- Employment
- Full-time
- Work mode
- Onsite
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-09-10
Required skills
| Skill | Experience | Level |
|---|---|---|
| AWS | 10+ years | Not specified |
| Cloud Architecture | 10+ years | Not specified |
| Azure | 10+ years | Not specified |
| Snowflake | Not specified | Not specified |
| Informatica Cloud | 10+ years | Not specified |
| Terraform | 10+ years | Not specified |
| CloudFormation | 8+ years | Not specified |
| DevOps | 10+ years | Not specified |
| Dataiku | 10+ years | Expert |
| AWS Cloud Watch | 9+ years | Expert |
| Azure Data Factory | 9+ years | Expert |
About the role
Job Description: Senior Cloud Architect – Platform Team
Location: Princeton, NJ (In-office. 2 days from client office premises in Plainsboro)
Experience Level: 10-12 years
Employment Type: Full-Time /C2C
Job Overview:
We are seeking an experienced Senior Cloud Architect to join Platform Team. The ideal candidate will have deep expertise in cloud architecture, with hands-on experience in AWS, Snowflake, Informatica Cloud, Dataiku, and Azure. Candidate will play a critical role in designing and optimizing our cloud infrastructure, ensuring scalability, security, and performance to support business objectives.
Key Responsibilities:
- Cloud Architecture Design: Architect, design, and implement scalable, secure, and cost-efficient cloud infrastructure solutions across AWS, Snowflake, Informatica Cloud, Dataiku, and Azure.
- Platform Strategy: Collaborate with cross-functional teams to define and execute the cloud strategy for the platform, ensuring alignment with business goals.
- Infrastructure Optimization: Monitor and optimize cloud infrastructure for performance, cost, and reliability, implementing best practices for high availability and disaster recovery.
- Data Integration & Analytics: Leverage Snowflake, Informatica Cloud, and Dataiku to design and support data pipelines, analytics platforms, and machine learning workflows.
- Security & Compliance: Ensure cloud environments adhere to security best practices and compliance requirements (e.g., GDPR, HIPAA, SOC).
- Automation & DevOps: Drive automation of infrastructure provisioning and management using IaC (Infrastructure as Code) tools like Terraform, CloudFormation, or ARM templates.
- Stakeholder Collaboration: Work closely with data engineers, data scientists, and application developers to integrate cloud solutions with business applications.
- Troubleshooting & Support: Lead efforts to troubleshoot and resolve complex cloud infrastructure issues, ensuring minimal downtime and optimal performance.
- Innovation: Stay updated on emerging cloud technologies and trends, recommending and implementing innovative solutions to enhance platform capabilities.
- Leverage and collaborate with offshore team members
Required Qualifications:
- Technical Expertise:
- Extensive hands-on experience with AWS (e.g., EC2, S3, Lambda, RDS, VPC, IAM).
- Exposure to Snowflake for cloud data warehousing and analytics.
- Exposure to Informatica Cloud from Infra perspective
- Experience with Dataiku for data science and machine learning workflows.
- Working knowledge of Azure services (e.g., Azure Data Factory, Azure Synapse, AKS).
- Infrastructure as Code: Expertise in tools like Terraform, CloudFormation, or ARM templates for automating cloud infrastructure.
- DevOps Practices: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring tools (e.g., CloudWatch, Azure Monitor).
- Security: Understanding of cloud security principles, identity management, and encryption.
- Problem-Solving: Proven ability to analyze and resolve complex technical challenges in cloud environments.
- Communication: Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
Preferred Qualifications:
- Certifications such as AWS Certified Solutions Architect, Microsoft Azure Architect.
- Experience with hybrid or multi-cloud environments.
- Prior experience working in a data-intensive industry (e.g., finance, healthcare, or technology).