Data Platform Delivery Lead (AI-Ready & Regulated)

Amazon Web Services, Inc.; Houston (TX); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Delivery Consultant specializing in Datae to design and implement modern data platforms and governance. You will architect data pipelines, lakehouse and data mesh solutions for AI-ready assets and knowledge graphs within regulated environments.

You will work hands-on with production-grade data products, collaborating with customer teams and partner networks to deliver AI-enabled outcomes at scale.

Qualifications

• 5+ years of cloud architecture and data engineering experience.
• Experience with data lakes, lakehouses, data mesh, and zero-ETL patterns and streaming architectures.
• Experience with ontologies and knowledge graphs in enterprise environments.

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 fast-moving delivery engagements with minimal oversight.
• Architect contextual knowledge layers, ontologies, and knowledge graphs to enable accurate reasoning by AI agents.
• Collaborate across teams to secure data access and resolve data quality challenges.
• Deliver iteratively when requirements are ambiguous, translating business needs into scalable data solutions.
• Apply AI-DLC methodologies to redesign data workflows for AI-native, scalable delivery.

Skills

Cloud architecture

Data engineering

Data platform development

Data governance

Education

Bachelor's degree or 7+ years of professional/military experience

Tools

SageMaker Lakehouse

SageMaker Unified Studio

Amazon S3 Tables

Amazon Redshift

Apache Iceberg

Spark

Databricks

Snowflake

Kafka

AWS Glue Data Catalog

Collibra

Alation

Job description

Amazon Web Services, Inc. seeks a Delivery Consultant specializing in Datae to design and implement modern data platforms and governance. You will architect data pipelines, lakehouse and data mesh solutions for AI-ready assets and knowledge graphs within regulated environments.

You will work hands-on with production-grade data products, collaborating with customer teams and partner networks to deliver AI-enabled outcomes at scale.