AI-Ready Data Platform Architect (Healthcare)

Amazon Web Services (AWS); Seattle (WA); Hybrid; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Delivery Consultant specialized in Data for the Healthcare and Life Sciences practice. You will design and implement production-grade data platforms, data pipelines, data mesh architectures, and knowledge graph layers to enable AI-ready environments within regulated settings.

You will collaborate with customer teams and partner networks, co-locate onsite roughly 50% of the time in the U.S., and deliver data solutions spanning ML model training to agentic AI

Qualifications

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 5+ years of 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, lakehouses, data mesh, and zero-ETL patterns and streaming architectures, using services such as Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, and zero-ETL integrations.
• Experience with architecting and engineering ontologies and knowledge graphs in enterprise environments.

Responsibilities

• 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

Skills

Cloud architecture

Data engineering

Data pipelines

Ontologies/knowledge graphs

Regulatory compliance (HIPAA/GxP)

AI/ML data platforms

Zero-ETL patterns and streaming

Education

Bachelor's degree or equivalent experience

Tools

Apache Iceberg

Spark

Databricks

Snowflake

Kafka

SageMaker Lakehouse/SageMaker Studio

Job description

Amazon Web Services (AWS) is seeking a Delivery Consultant specialized in Data for the Healthcare and Life Sciences practice. You will design and implement production-grade data platforms, data pipelines, data mesh architectures, and knowledge graph layers to enable AI-ready environments within regulated settings.

You will collaborate with customer teams and partner networks, co-locate onsite roughly 50% of the time in the U.S., and deliver data solutions spanning ML model training to agentic AI