Lead AWS Architect

Role Overview

• Contribute to AWS architecture decisions across client engagements in partnership with client and Nimble Gravity teams.
• Design and evolve AWS-based platforms that support analytics, applications, automation, and AI at enterprise scale.
• Help define target-state architectures across compute, storage, networking, and data platforms.
• Support the development and adoption of standards for scalability, performance, security, resiliency, and cost efficiency.
• Architect and implement cloud-native solutions using core AWS services across compute, storage, networking, and security.
• Design infrastructure patterns that are reliable, maintainable, and repeatable across environments.
• Support multi-account strategies, landing zones, and environment management best practices.
• Collaborate with engineering and client teams to ensure consistent application of AWS standards and reusable platform capabilities.
• Support the design and operation of modern data platforms leveraging AWS and Databricks.
• Enable scalable, secure data pipelines and analytics environments across batch, ELT, and streaming workloads.
• Help define patterns for data access, governance, and performance optimization.
• Partner with Data Engineering and Analytics teams to ensure platforms meet performance and reliability needs.
• Support cloud environments that enable machine learning and AI workloads.
• Ensure platforms are scalable, secure, and ready for advanced analytics use cases.
• Collaborate with Data Science and Engineering teams to support experimentation and model deployment.
• Support the implementation of standards for cloud governance, security, compliance, observability, and operational excellence.
• Ensure architectures align with regulatory and client-specific requirements such as SOC 2, HIPAA, GDPR, or similar frameworks.
• Apply best practices for IAM, encryption, network segmentation, disaster recovery, and platform resilience.
• Support key clients in the administration of AWS environments, including account structure, IAM, networking, monitoring, and cost management.
• Implement infrastructure as code, CI/CD practices, and environment management processes.
• Partner with teams to optimize AWS and Databricks performance, troubleshoot issues, and improve reliability and scalability.
• Provide hands-on technical leadership across AWS services and platform operations for key client engagements.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• AWS certifications such as Solutions Architect or DevOps Engineer are strongly preferred.
• 7–10+ years of experience in cloud architecture, platform engineering, or enterprise infrastructure.
• Strong experience designing and operating AWS environments in production.
• Hands-on expertise with AWS services including compute, storage, networking, security, and monitoring.
• Experience supporting modern data platforms and analytics workloads.
• Experience with Databricks, including integration with AWS data services, is preferred.
• Experience working in collaborative, client-facing environments.
• Experience with infrastructure as code tools such as Terraform or CloudFormation.

Tech Stack

• AWS
• Cloud
• Terraform

Benefits

• Health insurance
• 401(k) retirement plan
• Paid time off
• Flexible work arrangements
• Professional development opportunities