AWS MLOps Architect (AWS CDK Focus)
AWS MLOps Architect (AWS CDK Focus)
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1 Vacancy
Job Description
Role :- AWS MLOps Architect (AWS CDK Focus)
Location :- Atlanta GA 30354
Contract position
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.
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 the overall solution that includes Data Zone MLOps and CDK.
- Model Monitoring and Evaluation: Experience with model performance monitoring drift detection and explainability.
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.
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.
Employment Type
Full Time
