MLOps Architect (AWS CDK Focus)

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Location: Atlanta, GA or Minneapolis, MN

Job Description:

We are looking for a highly skilled 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.

• 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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development

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