MLOps Architect with AWS CDK & DataZone :: Local to MN & GA Only

Role :- MLOps Architect with AWS CDK & DataZone Location :- Atlanta , GA 30354 or Minneapolis, MN 55450 Contract 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. 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. 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 overall solution that includes Data Zone, MLOps and CDK. • Model Monitoring and Evaluation: Experience with model performance monitoring, drift detection, and explainability. 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.