Data Platform Delivery Consultant for AI-Ready Systems

Amazon Web Services (AWS); Jersey City (NJ); Hybrid; USD 169,000 - 229,000; Full time

Benefits offered by this job

Sign-on payments and RSUs

Comprehensive benefits (health, dental

401(k) matching

Paid time off and parental leave

Job summary

Amazon Web Services is seeking a Delivery Consultant specializing in Data to join AWS Industries (AWSI). You will design and implement modern data platforms, architect data pipelines, and build enterprise RAG architectures to enable foundation models and AI agents in regulated environments.

You will work hands-on with enterprise clients, ensuring data lineage, governance, and compliance while delivering production-grade data products for ML training and agent orchestration layers.

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 implementation

Consulting experience

Serverless architectures

Data platforms design

Education

Bachelor's degree

Job description

Amazon Web Services is seeking a Delivery Consultant specializing in Data to join AWS Industries (AWSI). You will design and implement modern data platforms, architect data pipelines, and build enterprise RAG architectures to enable foundation models and AI agents in regulated environments.

You will work hands-on with enterprise clients, ensuring data lineage, governance, and compliance while delivering production-grade data products for ML training and agent orchestration layers.