Data Platform Architect for AI-Ready Enterprises

Amazon Web Services (AWS); Dallas (TX); Hybrid; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Delivery Consultant specializing in Data to join the ProServe team.

You will design and implement modern data platforms (lake, lakehouse, mesh) and architect data pipelines to transform raw data into governed, AI-ready assets, enabling enterprise RAG architectures and knowledge graphs for AI agents. You will work hands-on in customer environments with complex data lineage and legacy systems.

Qualifications

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience building ontologies, taxonomies, and semantic relation frameworks.

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments, integrating with legacy systems and existing data governance frameworks.
• Build data products that serve multiple downstream applications and use cases — from AI/ML model training to agentic AI systems, ensuring data quality, lineage, and reliability at scale.
• Operate with a high degree of autonomy within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight.
• Navigate complex data access, security, and privacy requirements.
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments.
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations.
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures.
• Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI-native for accelerated scale and pace.

Skills

Cloud architecture

Data engineering

Data modeling & ETL

Ontologies & taxonomies

Education

Bachelor's degree

Tools

AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2)

Job description

Amazon Web Services, Inc. seeks a Delivery Consultant specializing in Data to join the ProServe team.

You will design and implement modern data platforms (lake, lakehouse, mesh) and architect data pipelines to transform raw data into governed, AI-ready assets, enabling enterprise RAG architectures and knowledge graphs for AI agents. You will work hands-on in customer environments with complex data lineage and legacy systems.