Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

What you'll do

• Build data pipelines, lakes, lakehouses, mesh architectures, and reliable data products for enterprise HCLS environments.
• Architect ontologies, knowledge graphs, and contextual knowledge layers that support RAG and AI agents in regulated settings.
• Deliver data solutions with customer and partner teams, addressing governance, security, privacy, and evolving requirements.

What they ask for

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

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• HCLS experience; familiarity with HIPAA, GxP, OMOP, CDISC, or FHIR; or experience with distributed data processing frameworks.

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, AWS Context, Amazon Bedrock Knowledge Bases, Apache Iceberg, Spark

AI focus

Builds AI-ready data assets, RAG and knowledge architectures, and data products for ML training and agentic AI; applies AI-accelerated delivery methods, including validating AI-generated pipeline code.