Job Description
Job Title: AWS Data zone / MLOPS
Atlanta, GA and Minneapolis, MN
Contract
Key Requirements:
Experience: Excellent years of experience in data management, data governance, or cloud architecture, with specific experience working with AWS services.
Expertise in AWS DataZone: Deep understanding of AWS DataZone, including deployment, data cataloguing, access management, and integration with other AWS services.
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).
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.
Technical Skills: Strong skills in scripting and automation (Python, Terraform, AWS CLI) and experience in managing large datasets.
Communication & Leadership: Ability to communicate technical solutions to both technical and non-technical stakeholders and provide leadership on data governance strategies.
Preferred Qualifications:
AWS Certifications (AWS Certified Solutions Architect, AWS Certified Big Data – Specialty, etc.)
Experience with DataOps and DevOps methodologies.