AWS Cloud Architect

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About Us

Job Overview

Senior Cloud Architect

• 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.
• Infrastructure Monitoring: Utilize monitoring tools such as Datadog to ensure system health and performance.
• 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 Infrastructure as Code (IaC) 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).
• Experience with Snowflake for cloud data warehousing and analytics.
• Exposure to Informatica Cloud from an infrastructure 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 or Microsoft Azure Architect.
• Experience with hybrid or multi-cloud environments.
• Prior experience working in a data-intensive industry (e.g., finance, healthcare, or technology).