Senior Data Delivery Consultant — AI-Ready Platforms

Amazon Web Services (AWS); New York (NY); Hybrid; USD 169,000 - 229,000; Full time

Benefits offered by this job

Sign-on bonus

RSUs

Health benefits

401(k) matching

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant specializing in Data for AWS Industries. You will design and implement modern data platforms, data pipelines, and enterprise RAG architectures to enable AI-ready environments.

This role requires ~50% on-site collaboration with customers and partners across the U.S. You will work hands-on in enterprise settings, shaping data governance, lineage, and compliant architectures while delivering production-grade data products for ML training

Qualifications

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 7+ years of technical specialist, design and architecture experience.
• 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience.
• 7+ years of consulting, design and implementation of serverless distributed solutions experience.

Responsibilities

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs.
• Providing technical guidance and troubleshooting support throughout project delivery.
• Collaborating with stakeholders to gather requirements and propose effective migration strategies.
• Acting as a trusted advisor to customers on industry trends and emerging technologies.
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

Skills

Cloud architecture

Solution design

Pre-sales

Communication

Regulatory compliance

Cost optimization

Security

Data platforms

Education

Bachelor's degree

Military experience

AWS Certification

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant specializing in Data for AWS Industries. You will design and implement modern data platforms, data pipelines, and enterprise RAG architectures to enable AI-ready environments.

This role requires ~50% on-site collaboration with customers and partners across the U.S. You will work hands-on in enterprise settings, shaping data governance, lineage, and compliant architectures while delivering production-grade data products for ML training