MLOps Architect AWS CDK & DataZone Local to MN & GA

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Role :

- MLOps Architect with AWS CDK & Data Zone

Location :

- Atlanta , GA 30354 or Minneapolis, MN 55450

Contract

Job Description :

-

We are looking for a highly skilled AWS Data Zone 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 Data Zone, and building MLOps pipelines leveraging services like Sage Maker, Step Functions, and Code Pipeline, 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 Data Zone 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., Sage Maker, Lambda, S3, Glue, Data Zone, Step Functions).

• Integrate Data Zone 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 Data Zone 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, Dev Ops, 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 Data Zone, Sage Maker, Glue, Lake Formation, IAM, Step Functions, Code Pipeline, and Cloud Watch.

• 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, Dev Ops 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.

• 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.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Contract

• Job function
  
  Information Technology
• Industries Software Development

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