Eagle Eye Technologies
AWS MLOps Architect (AWS CDK Focus)
Eagle Eye Technologies - Atlanta, Georgia, United States, 30383
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AWS MLOps Architect (AWS CDK Focus)
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Eagle Eye Technologies 1 day ago Be among the first 25 applicants Join to apply for the
AWS MLOps Architect (AWS CDK Focus)
role at
Eagle Eye Technologies Get AI-powered advice on this job and more exclusive features. Role :-
AWS MLOps Architect (AWS CDK Focus)
Location :-
Atlanta , GA 30354
Contract position
Job Description :-
We are looking for a highly skilled AWS DataZone and MLOps Architect to design, implement, and oversee modern cloud-native data governance and machine learning operations (MLOps) frameworks with deep expertise in designing scalable, secure, and automated cloud-native data and ML platforms using AWS CDK. The successful candidate will be responsible for architecting & implementing robust data governance using AWS DataZone, and building MLOps pipelines leveraging services like SageMaker, Step Functions, and CodePipeline, all provisioned and maintained through CDK-based infrastructure-as-code.
This role requires strong cloud-native architectural thinking, automation-first mindset, and hands-on experience with CDK in either TypeScript or Python.
Required Skills And Experience
7+ years in cloud architecture, DevOps, or data engineering roles. Overall 10-12+ years of exp reqd. Strong hands-on experience with AWS CDK in TypeScript or Python (required). Deep knowledge of AWS DataZone, SageMaker, Glue, Lake Formation, IAM, Step Functions, CodePipeline, and CloudWatch. Experience architecting MLOps pipelines and automating deployments in AWS. Proficient in containerization using Docker, ECS, or EKS. Working knowledge of data governance, metadata management, and data security/compliance frameworks (e.g., HIPAA, GDPR). Strong programming skills in Python and scripting tools for automation. Understanding of data privacy, compliance, and enterprise governance frameworks. Excellent communication and stakeholder management skills. High Consulting skills reqd that takes key stakeholders in confidence and provide them day-to-day solutions on the overall solution that includes Data Zone, MLOps and CDK. Model Monitoring and Evaluation: Experience with model performance monitoring, drift detection, and explainability.
Key Responsibilities
Architect and deploy AWS DataZone for enterprise-wide data discovery, cataloging, and governance using AWS CDK. Design and build CI/CD-enabled MLOps pipelines to manage the end-to-end ML lifecycle: data prep, training, model deployment, monitoring, and retraining. Use AWS CDK to manage infrastructure-as-code across data and ML workflows (e.g., SageMaker, Lambda, S3, Glue, DataZone, Step Functions). Integrate DataZone with Lake Formation, Glue Data Catalog, and Redshift for centralized governance and access control. Define policies and automation for data access requests, lineage, and classification using DataZone and IAM roles. Ensure security, compliance, and auditability across all components using least-privilege principles and automation. Collaborate with Data Engineers, MLOps Engineers, Data Scientists, and Security teams to design end-to-end solutions. Drive adoption of reusable CDK constructs/modules for consistent deployment and governance of data and ML services.
Preferred Qualifications
AWS Certifications (Solutions Architect Professional, DevOps Engineer, or Machine Learning Specialty). Experience deploying enterprise-scale data platforms using CDK and reusable infrastructure modules. Familiarity with observability/monitoring tools for ML and data pipelines. Knowledge domain-driven data architecture. Previous experience with versioned deployment strategies (Blue/Green, Canary) for ML models. Exposure to data observability tools and model monitoring frameworks. Communication and Collaboration: Ability to communicate effectively with diverse teams. Problem-Solving: Strong analytical and problem-solving skills. Leadership: Ability to lead and guide technical teams.
Please send your resumes to:
vikas.k@eagleiitech.com Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Eagle Eye Technologies by 2x Get notified about new Cloud Architect jobs in
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AWS MLOps Architect (AWS CDK Focus)
role at
Eagle Eye Technologies 1 day ago Be among the first 25 applicants Join to apply for the
AWS MLOps Architect (AWS CDK Focus)
role at
Eagle Eye Technologies Get AI-powered advice on this job and more exclusive features. Role :-
AWS MLOps Architect (AWS CDK Focus)
Location :-
Atlanta , GA 30354
Contract position
Job Description :-
We are looking for a highly skilled AWS DataZone and MLOps Architect to design, implement, and oversee modern cloud-native data governance and machine learning operations (MLOps) frameworks with deep expertise in designing scalable, secure, and automated cloud-native data and ML platforms using AWS CDK. The successful candidate will be responsible for architecting & implementing robust data governance using AWS DataZone, and building MLOps pipelines leveraging services like SageMaker, Step Functions, and CodePipeline, all provisioned and maintained through CDK-based infrastructure-as-code.
This role requires strong cloud-native architectural thinking, automation-first mindset, and hands-on experience with CDK in either TypeScript or Python.
Required Skills And Experience
7+ years in cloud architecture, DevOps, or data engineering roles. Overall 10-12+ years of exp reqd. Strong hands-on experience with AWS CDK in TypeScript or Python (required). Deep knowledge of AWS DataZone, SageMaker, Glue, Lake Formation, IAM, Step Functions, CodePipeline, and CloudWatch. Experience architecting MLOps pipelines and automating deployments in AWS. Proficient in containerization using Docker, ECS, or EKS. Working knowledge of data governance, metadata management, and data security/compliance frameworks (e.g., HIPAA, GDPR). Strong programming skills in Python and scripting tools for automation. Understanding of data privacy, compliance, and enterprise governance frameworks. Excellent communication and stakeholder management skills. High Consulting skills reqd that takes key stakeholders in confidence and provide them day-to-day solutions on the overall solution that includes Data Zone, MLOps and CDK. Model Monitoring and Evaluation: Experience with model performance monitoring, drift detection, and explainability.
Key Responsibilities
Architect and deploy AWS DataZone for enterprise-wide data discovery, cataloging, and governance using AWS CDK. Design and build CI/CD-enabled MLOps pipelines to manage the end-to-end ML lifecycle: data prep, training, model deployment, monitoring, and retraining. Use AWS CDK to manage infrastructure-as-code across data and ML workflows (e.g., SageMaker, Lambda, S3, Glue, DataZone, Step Functions). Integrate DataZone with Lake Formation, Glue Data Catalog, and Redshift for centralized governance and access control. Define policies and automation for data access requests, lineage, and classification using DataZone and IAM roles. Ensure security, compliance, and auditability across all components using least-privilege principles and automation. Collaborate with Data Engineers, MLOps Engineers, Data Scientists, and Security teams to design end-to-end solutions. Drive adoption of reusable CDK constructs/modules for consistent deployment and governance of data and ML services.
Preferred Qualifications
AWS Certifications (Solutions Architect Professional, DevOps Engineer, or Machine Learning Specialty). Experience deploying enterprise-scale data platforms using CDK and reusable infrastructure modules. Familiarity with observability/monitoring tools for ML and data pipelines. Knowledge domain-driven data architecture. Previous experience with versioned deployment strategies (Blue/Green, Canary) for ML models. Exposure to data observability tools and model monitoring frameworks. Communication and Collaboration: Ability to communicate effectively with diverse teams. Problem-Solving: Strong analytical and problem-solving skills. Leadership: Ability to lead and guide technical teams.
Please send your resumes to:
vikas.k@eagleiitech.com Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Eagle Eye Technologies by 2x Get notified about new Cloud Architect jobs in
Atlanta, GA . Atlanta, GA $167,032.32-$226,686.72 1 month ago Atlanta, GA $167,032.32-$226,686.72 1 month ago Portfolio Architect, AWS and Big Data Solutions
Atlanta, GA $214,755.84-$310,202.88 1 month ago Atlanta, GA $140,000.00-$150,000.00 2 weeks ago Atlanta, GA $140,000.00-$150,000.00 2 weeks ago Atlanta, GA $214,755.84-$310,202.88 1 month ago Atlanta, GA $122,288.65-$148,330.00 1 month ago Vinings, GA $110,000.00-$200,000.00 1 week ago Principal Enterprise Architect - Infrastructure
Solutions Architect, Retail, Google Cloud
Atlanta, GA $147,000.00-$216,000.00 6 days ago Atlanta, GA $133,365.00-$172,590.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr