Data Platform Delivery Lead — AI-Ready Healthcare

Amazon Web Services; Denver (CO); Hybrid; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services ProServe is seeking a Delivery Consultant focused on Data for Healthcare & Life Sciences to design and implement modern data platforms, pipelines, and knowledge graphs that empower AI agents in regulated environments.

You will work hands-on with complex data lineage, regulatory overlays (GxP, HIPAA), and production-grade data products for model training and agent orchestration, with about 50% on-site collaboration in the U.S.

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, 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 governance

Regulatory compliance

Stakeholder collaboration

Education

Bachelor's degree or 7+ years experience

Tools

SageMaker Lakehouse

SageMaker Unified Studio

S3 Tables

Redshift

Zero-ETL integrations

Apache Iceberg

Spark

Databricks

Snowflake

Kafka

Job description

Amazon Web Services ProServe is seeking a Delivery Consultant focused on Data for Healthcare & Life Sciences to design and implement modern data platforms, pipelines, and knowledge graphs that empower AI agents in regulated environments.

You will work hands-on with complex data lineage, regulatory overlays (GxP, HIPAA), and production-grade data products for model training and agent orchestration, with about 50% on-site collaboration in the U.S.