AI-Ready Data Platform Lead – Pipelines & Knowledge Graphs

Amazon; Houston (TX); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services is seeking a Delivery Consultant specializing in Data to join our ProServe practice in the United States. You will design and implement modern data platforms, data pipelines, and governance structures to enable AI-ready environments across pharma and healthcare contexts.

Expect ~50% on-site collaboration with customers in the U.S. You will drive autonomous data solutions, leverage AWS services, and contribute to enterprise AI initiatives at scale.

Qualifications

• 5+ years of IT platform implementation in a technical and analytical role.
• 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
• 5+ years of experience in data analytics implementation, with deep expertise in ETL/ELT pipeline design and deployment (e.g. Informatica, Glue, DBT, PySpark)
• Hands-on experience implementing AWS and/or third-party data analytics services (e.g. Redshift, Glue, LakeFormation, Databricks, dbt, Spark)

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise 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

Data analytics implementation

ETL/ELT design

AWS services

Data pipelines

Tools

Informatica

AWS Glue

DBT

PySpark

Redshift

Databricks

Apache Spark

Job description

Amazon Web Services is seeking a Delivery Consultant specializing in Data to join our ProServe practice in the United States. You will design and implement modern data platforms, data pipelines, and governance structures to enable AI-ready environments across pharma and healthcare contexts.

Expect ~50% on-site collaboration with customers in the U.S. You will drive autonomous data solutions, leverage AWS services, and contribute to enterprise AI initiatives at scale.