AI-Ready Data Platform Delivery Consultant

Amazon Web Services (AWS); Boston (MA); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant for the Global Financial Services Practice specializing in Data to join AWS Industries.

You will design and implement modern data platforms, lake, lakehouse, and data mesh architectures to transform raw data into governed, AI-ready assets and enable enterprise AI applications. Role involves on-site collaboration up to 50% within the U.S., delivering production-grade data solutions, integrating with data governance, and ensuring security

Qualifications

• 3+ years of cloud architecture and solution implementation experience
• Knowledge of AWS services (EC2, ELB, RDS, Route53, S3) and experience in distributed environments
• Experience with data modeling, warehousing, and building ETL pipelines

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments
• Build data products serving multiple downstream applications from AI/ML model training to agentic AI systems
• Operate autonomously within delivery engagements, making data modeling and architecture decisions
• Navigate data access, security, and privacy requirements
• Architect contextual knowledge layers, ontologies, and knowledge graphs leveraging AWS Context and Bedrock Knowledge Bases
• Collaborate across teams to secure data access and resolve data quality challenges
• Deliver iteratively when requirements are ambiguous and translate business needs into robust data solutions
• Apply AI-DLC methodologies to redesign data workflows for AI-native scale

Skills

Cloud architecture

Data modeling

Warehousing

ETL pipelines

AWS services

Education

Bachelor's degree in related field

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant for the Global Financial Services Practice specializing in Data to join AWS Industries.

You will design and implement modern data platforms, lake, lakehouse, and data mesh architectures to transform raw data into governed, AI-ready assets and enable enterprise AI applications. Role involves on-site collaboration up to 50% within the U.S., delivering production-grade data solutions, integrating with data governance, and ensuring security