Lead AWS Architect

Nimble Gravity

About The Position

Lead AWS Cloud Architect / Administrator Do you want to help design and scale AWS-based platforms that support analytics, AI, and real business outcomes? Are you energized by working across complex environments and contributing to key architectural decisions? Then this role is for you. At Nimble Gravity, we turn complex data into actionable insight, and that starts with building scalable, secure, and high-performing cloud platforms. We are seeking a Lead AWS Cloud Architect who brings strong hands-on expertise and architectural perspective to support modern AWS ecosystems and data platforms. If you thrive at the intersection of cloud architecture, platform ownership, and hands-on execution, and enjoy working collaboratively in complex enterprise environments, then you belong with us.

Requirements

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 working in collaborative, client-facing environments.
Experience with infrastructure as code tools such as Terraform or CloudFormation.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

Nice To Haves

AWS certifications such as Solutions Architect or DevOps Engineer are strongly preferred.
Experience with Databricks, including integration with AWS data services, is preferred.
Deep technical fluency combined with strong business acumen.
Ability to translate strategy into scalable, executable cloud architectures.
Pragmatic, delivery-oriented mindset with strong attention to security, reliability, and sustainability.
Collaborative, trusted partner to senior client stakeholders and technical teams.
Comfortable operating in high-visibility, transformational initiatives.

Responsibilities

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.