AI-Ready Data Delivery Consultant

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

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant specialized in Data to join our AWS Industries practice.

You will design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments, enabling AI-ready deployments and robust data governance. This role requires approximately 50% co-location on site with customer and AWS teams within the U.S.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in distributed computing environments.

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments.
• Build data products that support AI/ML model training and agentic AI systems, ensuring data quality and lineage at scale.
• Operate with autonomy in fast-moving delivery engagements and make design decisions without constant oversight.
• Navigate data access, security, and privacy requirements in pharma and healthcare (HIPAA, GxP, regulatory governance).
• Architect contextual knowledge layers (ontologies, knowledge graphs) using AWS Context and Bedrock Knowledge Bases.
• Collaborate across teams to secure data access and resolve data quality challenges in customer environments.
• Deliver iteratively when requirements are ambiguous, converting business needs into scalable data solutions.
• Apply AI-DLC methodologies to redesign data workflows for AI-native scale.

Skills

Cloud architecture

AWS services knowledge

Solution implementation

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant specialized in Data to join our AWS Industries practice.

You will design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments, enabling AI-ready deployments and robust data governance. This role requires approximately 50% co-location on site with customer and AWS teams within the U.S.