Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

What you'll do

• Build and integrate production data pipelines, lakes, lakehouses, data mesh architectures, and data products.
• Design knowledge layers, including ontologies, knowledge graphs, and RAG architectures, for AI and agentic systems.
• Deliver secure, governed data solutions that meet HCLS privacy and regulatory needs, collaborating with customer and partner teams.

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 engineering ontologies and knowledge graphs in enterprise environments.

Nice to have

• AWS certifications in Data Analytics or Machine Learning Specialty.
• HCLS experience, relevant data-processing frameworks, governance tools, 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

Build AI-ready data platforms and knowledge layers, including enterprise RAG, vector stores, ontologies, and knowledge graphs for foundation models and AI agents; apply AI-DLC methodologies to data delivery.