AI-Ready Data Platform Architect for HCLS

Amazon Web Services (AWS); Raleigh (NC); Hybride; USD 140 000 - 190 000; Plein temps

Résumé du poste

Amazon Web Services (AWS) is seeking a Delivery Consultant specializing in Data for the Healthcare and Life Sciences practice. You will design and implement modern data platforms (lake, lakehouse, mesh), build data pipelines that transform fragmented estates into governed, AI-ready assets, and craft enterprise RAG architectures for secure, autonomous AI agents within regulated environments.

You will work hands-on in customer environments with complex data lineage and regulatory overlays (GxP,

Qualifications

• Bachelor's degree or 7+ years of professional or military experience may substitute.
• Experience designing, building, and operating modern data platforms (lake, lakehouse, mesh).
• Ability to implement enterprise RAG architectures, vector stores, and knowledge graphs.

Responsabilités

• Design and implement production-grade data pipelines and data maturities within HCLS environments.
• Architect data platforms and data meshes that support AI-ready assets and governed data estates.
• Ensure data quality, lineage, security, and privacy across regulated healthcare data (GxP, HIPAA).
• Collaborate across teams to secure data access and resolve data quality challenges.
• Deliver iteratively in fast-moving delivery engagements with autonomy and accountability.

Connaissances

Cloud architecture

Data engineering

Data pipelines

Data governance

HIPAA/GxP knowledge

AI/ML basics

Formation

Bachelor's degree or equivalent

Description du poste

Amazon Web Services (AWS) is seeking a Delivery Consultant specializing in Data for the Healthcare and Life Sciences practice. You will design and implement modern data platforms (lake, lakehouse, mesh), build data pipelines that transform fragmented estates into governed, AI-ready assets, and craft enterprise RAG architectures for secure, autonomous AI agents within regulated environments.

You will work hands-on in customer environments with complex data lineage and regulatory overlays (GxP,