Data Platform Delivery Consultant for AI-Ready Systems

Amazon; Minneapolis (MN); Hybrid; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services (AWS) Professional Services is seeking a Delivery Consultant specializing in Data to join our AWS Industries practice. You will design and implement modern data platforms, build data pipelines that transform raw data estates into governed, AI-ready assets, and design enterprise RAG architectures to enable AI agents to reason securely.

This role requires about 50% co-location on site with customer and partner teams within the U.S., delivering production-grade data solutions

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Experience with AWS services (EC2, ELB, RDS, Route53, S3).
• Experience implementing AWS services in distributed computing environments
• Bachelor's degree in business, finance, economics, computer science, data science, engineering, or related field
• Experience with data modeling, warehousing and building ETL pipelines

Responsibilities

• Design and implement production-grade data pipelines, lakes, lakehouses, and data mesh architectures.
• Build data products for AI/ML and agent systems with data quality and lineage.
• Operate autonomously within fast-moving delivery engagements.
• Navigate data access, security, and privacy requirements.
• Architect contextual knowledge layers, including ontologies and knowledge graphs for AI agents.
• Collaborate across teams to secure data access and resolve data quality challenges.
• Deliver iteratively when requirements are ambiguous, translating business needs into well-architected data solutions.
• Apply AI-DLC methodologies to data delivery to redesign data workflows for AI-native scale.

Skills

Cloud architecture

AWS services

Distributed computing

Data modeling

Education

Bachelor's degree

Job description

Amazon Web Services (AWS) Professional Services is seeking a Delivery Consultant specializing in Data to join our AWS Industries practice. You will design and implement modern data platforms, build data pipelines that transform raw data estates into governed, AI-ready assets, and design enterprise RAG architectures to enable AI agents to reason securely.

This role requires about 50% co-location on site with customer and partner teams within the U.S., delivering production-grade data solutions