Job Title: AWS DataZone and MLOps Architect (AWS CDK Focus)
Location: Atlanta , GA 30354 or Minneapolis, MN 55450 (Onsite)
Job Type: 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.
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