Senior AWS Cloud Architect

Pratt IndustriesPark City, KS
Hybrid

About The Position

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). Beyond migration, you will establish robust cloud governance frameworks, define operational guardrails for our infrastructure teams, and architect scalable data solutions that fuel our business intelligence, analytics, and artificial intelligence (AI) initiatives.

Requirements

  • 7+ years in IT infrastructure/architecture, with at least 3+ years specifically focused on AWS cloud architecture and large-scale migrations.
  • 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).
  • Proficiency with Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation, AWS CDK) and configuration management.
  • Proven experience setting up AWS Organizations, AWS Control Tower, and Service Control Policies (SCPs) for enterprise compliance.
  • One or more of the following: AWS Certified Solutions Architect – Professional or Associate, AWS DevOps Engineer – Professional or Associate

Nice To Haves

  • Familiarity with containerization and orchestration (Docker, Amazon ECS/EKS).
  • Strong understanding of data governance, data privacy regulations, and security compliance frameworks.
  • Excellent collaboration skills to bridge the gap between technical operations teams and data science/analytics business units.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Implement FinOps practices to monitor, analyze, and optimize cloud spend while ensuring optimal system performance and scalability.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service