Senior AWS Cloud Architect

Job summary

Job Description: Senior AWS Cloud Architect Location: Wichita, KS (Hybrid) Position Overview: We are seeking an experienced and visionary Cloud Architect to spearhead our enterprise cloud transformation. In this role, you will design and execute our migration strategy from legacy on-premises infrastructure to Amazon Web Services (AWS).

Qualifications

• We are seeking an experienced and visionary Cloud Architect to spearhead our enterprise cloud transformation.
• Experience: 7+ years in IT infrastructure/architecture, with at least 3+ years specifically focused on AWS cloud architecture and large-scale migrations.
• AWS Expertise: Deep technical knowledge of core AWS services (EC2, S3, RDS, VPC, IAM, Route 53) and specialized data/analytics services (AWS Glue, Redshift, Athena, EMR, SageMaker, Amazon Bedrock).
• Automation & Provisioning: Proficiency with Infrastructure as Code
• Pratt was founded in the USA more than 30 years ago and, since then, has shown dramatic growth with sophisticated manufacturing facilities in more than 70+ locations.

Responsibilities

• In this role, you will design and execute our migration strategy from legacy on-premises infrastructure to Amazon Web Services (AWS).
• Cloud Migration & Modernization: Lead the architectural assessment, strategy, and execution of transitioning legacy, on-premises workloads to AWS.
• Utilize frameworks such as the AWS Well-Architected Framework to ensure secure, high-performing, resilient, and efficient infrastructure.
• Cloud Networking: Partner with network architect to design and implement cloud networking architecture.
• Set up VPC peering.
• Evaluate the need for, and implement, a Direct Connect with AWS.
• Cloud Governance & Guardrails: Design, implement, and maintain enterprise-wide cloud landing zone and governance policies.
• Define Identity and Access Management (IAM) strategies, security baselines, and resource lifecycle policies to guide the Systems Engineering and Operations teams in secure, standardized resource provisioning.
• Infrastructure as Code (IaC): Champion automation by establishing IaC standards and CI/CD pipelines for infrastructure deployment, ensuring the Systems Engineering team can safely and consistently manage cloud resources.
• Data & AI Architecture: Architect scalable, secure data platforms—including Data Lakes and Modern Data Warehouses—to aggregate diverse data streams.
• Ensure the underlying infrastructure optimized for high-performance data analytics, reporting pipelines, and advanced AI/ML modeling.
• Cost Optimization & Performance Tuning: Implement FinOps practices to monitor, analyze, and optimize cloud spend while ensuring optimal system performance and scalability.

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