AI-Ready Data Platform Delivery Consultant

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

AWS Professional Services is seeking a Delivery Consultant focused on data to design and implement modern data platforms, data pipelines, and knowledge architectures for AI-ready environments at customer sites across the U.S. The role requires about 50% on-site collaboration with AWS, partners, and customers in pharma and healthcare contexts.

You’ll lead autonomous design decisions, collaborate across teams, and deliver scalable data solutions from ingestion to AI/agentic orchestration, while

Qualifications

• 5+ years IT platform implementation in a technical and analytical role.
• 5+ years 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

IT platform implementation

Cloud-based solutions

Data analytics implementation

ETL/ELT pipeline design

Tools

Informatica

Glue

DBT

PySpark

Redshift

LakeFormation

Databricks

Spark

Job description

AWS Professional Services is seeking a Delivery Consultant focused on data to design and implement modern data platforms, data pipelines, and knowledge architectures for AI-ready environments at customer sites across the U.S. The role requires about 50% on-site collaboration with AWS, partners, and customers in pharma and healthcare contexts.

You’ll lead autonomous design decisions, collaborate across teams, and deliver scalable data solutions from ingestion to AI/agentic orchestration, while