Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

What you'll do

• Build data pipelines, lakes, lakehouses, data mesh architectures, and data products for enterprise HCLS environments.
• Design contextual knowledge layers, including ontologies, knowledge graphs, and RAG architectures that support AI and agents.
• Deliver data solutions in customer engagements, addressing governance, security, privacy, lineage, and regulatory requirements.

What they ask for

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 5+ years in data engineering, data architecture, and/or data platform development, including hands-on production data pipeline implementation.
• Experience with modern data platform patterns and services, and with architecting and engineering enterprise ontologies and knowledge graphs.

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Experience in healthcare and life sciences, relevant compliance and clinical data standards, distributed data processing frameworks, or AI-accelerated development methodologies.

Pay

176,600.00 - 239,000.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)

Tools

Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, Amazon Bedrock Knowledge Bases, Apache Iceberg, Spark, Databricks

AI focus

Builds AI-ready data assets, enterprise RAG architectures, vector stores, ontologies, and knowledge graphs for foundation models and AI agents; applies AI-DLC and AI-accelerated development methods.