Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

What you'll do

• Build data lakes, lakehouses, mesh architectures, and production pipelines that integrate with legacy systems and meet governance and data-quality needs.
• Create contextual knowledge layers, including ontologies and knowledge graphs, to support secure, accurate AI agents and other downstream use cases.
• Deliver data solutions in customer environments, navigating regulatory requirements and collaborating across customer, AWS, and partner teams; the role requires approximately 50% on-site co-location within the U.S.

What they ask for

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

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Healthcare and life sciences experience; distributed data processing, data governance, or AI-accelerated development experience.

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 and knowledge layers for foundation models, GenAI applications, and agentic AI; applies AI-DLC methodologies to data delivery.