Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

What you'll do

• Build and operate data pipelines, lakes, lakehouses, data mesh architectures, and reliable data products.
• Design knowledge layers, ontologies, knowledge graphs, and RAG architectures for AI and agentic systems in regulated environments.
• Work with customer and partner teams to address data access, governance, privacy, and quality needs; apply AI-accelerated delivery methods.

What they ask for

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

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty; healthcare/life sciences experience and familiarity with HIPAA, GxP, OMOP, CDISC, or FHIR.
• Experience with Apache Iceberg, Spark, Databricks, Snowflake, Kafka, data governance/cataloging tools, or AI-accelerated development methods.

Pay

USD 176,600.00 - 239,000.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary); USD 169,000.00 - 228,600.00 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 and contextual knowledge layers for foundation models, RAG, ML, and agentic AI; applies AI-DLC and AI-accelerated development methods.