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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

SkillExperienceLevel
AWS10+ yearsNot specified
Cloud Architecture10+ yearsNot specified
Azure10+ yearsNot specified
SnowflakeNot specifiedNot specified
Informatica Cloud10+ yearsNot specified
Terraform10+ yearsNot specified
CloudFormation8+ yearsNot specified
DevOps10+ yearsNot specified
Dataiku10+ yearsExpert
AWS Cloud Watch9+ yearsExpert
Azure Data Factory9+ yearsExpert

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).


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