MLOps Architect with AWS CDK & DataZone

Role :- MLOps Architect with AWS CDK & DataZone
Location :- Atlanta , GA or Minneapolis, MN - Onsite
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.