Data Freelance Hub
Job Overview
⭐ - Featured Role | Apply direct with Data Freelance Hub This role is for a Solutions Architect on a contract basis for 6 months, offering $65.10 - $70.00 per hour. Requires 15+ years in technology architecture, 7+ years with AWS solutions, and expertise in AI/ML. On-site in "Location". United States Essential Functions and Responsibilities
Strategic Leadership
– Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals. Design and implement cloud‑native solutions using AWS services, including serverless architectures. Drive architectural decisions for data‑driven applications and AI/ML‑enabled solutions. Implement AI/ML, GenAI, and cloud adoption across the enterprise. AWS Solution Design
– Architect and deploy highly scalable, resilient, and secure solutions using AWS services. Compute: Lambda, EC2, ECS, EKS; Storage: S3, EBS, EFS, DynamoDB, RDS; Networking: VPC, API Gateway, CloudFront; Security: IAM, KMS, Cognito, WAF; DevOps: CloudFormation, Terraform, CodePipeline, CodeDeploy, Jenkins. Optimize cloud infrastructure for cost, performance, and reliability. Design integration of on‑premises systems with AWS cloud solutions. Ensure compliance with cloud security best practices and AWS Well‑Architected Framework principles. GitHub Management and CI/CD Automation
– Oversee organization of GitHub repositories, ensuring adherence to best practices for version control and collaboration. Design and implement CI/CD pipelines using GitHub Actions for automated testing, deployment, and monitoring. Establish branching strategies, enforce code quality standards through automated checks, and manage repository permissions. Data Architecture
– Design and implement data pipelines, data lakes, and real‑time data processing frameworks on AWS. Leverage AWS tools such as Glue, Redshift, Kinesis, and Athena for data transformation and analytics. Establish data governance frameworks to ensure security and compliance. Collaborate with data scientists and engineers to operationalize AI/ML models. AI/ML and Generative AI Integration
– Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services. Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision. Optimize AI/ML workflows for scalability, performance, and cost on AWS cloud platforms. Solution Design and Automation
– Review design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services. Develop comprehensive architectural blueprints, including detailed AWS solution diagrams. Leadership and Mentorship
– Participate in Architectural Review Board (ARB) in collaboration with the Chief Architect, ensuring enterprise‑wide architectural alignment and governance. Build and mentor a team of architects, engineers, and data scientists. Provide technical leadership throughout the project lifecycle, from inception to delivery. Partner with stakeholders to ensure solutions meet technical and business requirements. Continuous Improvement
– Assess and enhance existing architectures, identifying opportunities to leverage AWS, AI/ML, and data technologies for modernization. Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies. Conduct architectural reviews to ensure alignment with AWS best practices and enterprise standards. Qualifications and Education
Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred). Experience: 15+ years in technology architecture, with 7+ years designing AWS‑based solutions. Proven experience leading enterprise‑scale cloud transformation projects. Technical Skills: AWS (Compute, Data, Security, Networking, DevOps), Java, Java EE, Spring, Angular, AI/ML tools (TensorFlow, PyTorch, SageMaker), data architecture design (ETL pipelines, data lakes). Certifications (preferred): AWS Certified Solutions Architect – Professional; AWS Certified Machine Learning Specialty; other AI/ML certifications. Domain Knowledge: Industry experience in Property & Casualty Insurance or other data‑intensive sectors preferred. Familiarity with policy, claims, and billing systems preferred. Job Type
Contract – Pay: $65.10 - $70.00 per hour. Work Location: On‑site.
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⭐ - Featured Role | Apply direct with Data Freelance Hub This role is for a Solutions Architect on a contract basis for 6 months, offering $65.10 - $70.00 per hour. Requires 15+ years in technology architecture, 7+ years with AWS solutions, and expertise in AI/ML. On-site in "Location". United States Essential Functions and Responsibilities
Strategic Leadership
– Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals. Design and implement cloud‑native solutions using AWS services, including serverless architectures. Drive architectural decisions for data‑driven applications and AI/ML‑enabled solutions. Implement AI/ML, GenAI, and cloud adoption across the enterprise. AWS Solution Design
– Architect and deploy highly scalable, resilient, and secure solutions using AWS services. Compute: Lambda, EC2, ECS, EKS; Storage: S3, EBS, EFS, DynamoDB, RDS; Networking: VPC, API Gateway, CloudFront; Security: IAM, KMS, Cognito, WAF; DevOps: CloudFormation, Terraform, CodePipeline, CodeDeploy, Jenkins. Optimize cloud infrastructure for cost, performance, and reliability. Design integration of on‑premises systems with AWS cloud solutions. Ensure compliance with cloud security best practices and AWS Well‑Architected Framework principles. GitHub Management and CI/CD Automation
– Oversee organization of GitHub repositories, ensuring adherence to best practices for version control and collaboration. Design and implement CI/CD pipelines using GitHub Actions for automated testing, deployment, and monitoring. Establish branching strategies, enforce code quality standards through automated checks, and manage repository permissions. Data Architecture
– Design and implement data pipelines, data lakes, and real‑time data processing frameworks on AWS. Leverage AWS tools such as Glue, Redshift, Kinesis, and Athena for data transformation and analytics. Establish data governance frameworks to ensure security and compliance. Collaborate with data scientists and engineers to operationalize AI/ML models. AI/ML and Generative AI Integration
– Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services. Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision. Optimize AI/ML workflows for scalability, performance, and cost on AWS cloud platforms. Solution Design and Automation
– Review design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services. Develop comprehensive architectural blueprints, including detailed AWS solution diagrams. Leadership and Mentorship
– Participate in Architectural Review Board (ARB) in collaboration with the Chief Architect, ensuring enterprise‑wide architectural alignment and governance. Build and mentor a team of architects, engineers, and data scientists. Provide technical leadership throughout the project lifecycle, from inception to delivery. Partner with stakeholders to ensure solutions meet technical and business requirements. Continuous Improvement
– Assess and enhance existing architectures, identifying opportunities to leverage AWS, AI/ML, and data technologies for modernization. Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies. Conduct architectural reviews to ensure alignment with AWS best practices and enterprise standards. Qualifications and Education
Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred). Experience: 15+ years in technology architecture, with 7+ years designing AWS‑based solutions. Proven experience leading enterprise‑scale cloud transformation projects. Technical Skills: AWS (Compute, Data, Security, Networking, DevOps), Java, Java EE, Spring, Angular, AI/ML tools (TensorFlow, PyTorch, SageMaker), data architecture design (ETL pipelines, data lakes). Certifications (preferred): AWS Certified Solutions Architect – Professional; AWS Certified Machine Learning Specialty; other AI/ML certifications. Domain Knowledge: Industry experience in Property & Casualty Insurance or other data‑intensive sectors preferred. Familiarity with policy, claims, and billing systems preferred. Job Type
Contract – Pay: $65.10 - $70.00 per hour. Work Location: On‑site.
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