Data Platform Architect for AI-Ready Healthcare

Amazon Web Services (AWS); Mountain View (CA); Hybride; USD 150 000 - 190 000; Plein temps

Résumé du poste

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant specializing in Data to join the Healthcare and Life Sciences practice. You will design and implement modern data platforms and pipelines to transform raw data estates into governed, AI-ready assets, including lake, lakehouse, and mesh architectures within regulated environments.

You will work hands-on with customer data in HCLS settings, handle data lineage, security, and privacy constraints such as HIPAA and GxP, and

Qualifications

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 5+ years of experience in data engineering, data architecture, and/or data platform development, with hands-on implementation of production data pipelines.
• Experience with modern data platform design patterns, including data lakes.

Responsabilités

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments, integrating with legacy systems and existing data governance frameworks.
• Build data products that serve multiple downstream applications and use cases — from AI/ML model training to agentic AI systems, ensuring data quality, lineage, and reliability at scale.
• Operate with a high degree of autonomy within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight.
• Navigate complex data access, security, and privacy requirements unique to pharma and healthcare including GxP compliance constraints, HIPAA, and regulatory data governance frameworks.
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments.
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations.
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures.
• Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI-native for accelerated scale and pace.

Connaissances

Cloud architecture

Data engineering

Data architecture

Data pipelines

Formation

Bachelor's degree

Description du poste

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant specializing in Data to join the Healthcare and Life Sciences practice. You will design and implement modern data platforms and pipelines to transform raw data estates into governed, AI-ready assets, including lake, lakehouse, and mesh architectures within regulated environments.

You will work hands-on with customer data in HCLS settings, handle data lineage, security, and privacy constraints such as HIPAA and GxP, and