Lead AWS Architect
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.
Cloud Architecture & Modernization
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.
AWS Platform Design & Engineering
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.
Data Platform Enablement
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.
AI-Ready Cloud Foundations
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.
Governance, Security & Reliability
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.
AWS Platform Ownership & Administration
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.
Qualifications
Education & Certifications
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.
Professional Experience
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.
Competencies & Attributes
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.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
This position is open only to candidates who are legally authorized to work in the United States. We do not provide visa sponsorship for this role.
Apply Now
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.
Cloud Architecture & Modernization
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.
AWS Platform Design & Engineering
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.
Data Platform Enablement
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.
AI-Ready Cloud Foundations
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.
Governance, Security & Reliability
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.
AWS Platform Ownership & Administration
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.
Qualifications
Education & Certifications
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.
Professional Experience
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.
Competencies & Attributes
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.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
This position is open only to candidates who are legally authorized to work in the United States. We do not provide visa sponsorship for this role.
Apply Now