Senior / Lead Data Architect

About This Role

Lead enterprise-wide data and semantic architecture to support AI-driven insights and automation for healthcare clients. Design robust data systems to facilitate data-driven change and create business value.

Responsibilities

• Architect canonical data domains across customer, product, pricing, supply chain, contracts, and financial performance
• Design semantic layers, business ontology, subject-area models, and metrics definitions for AI agents
• Define principles for data interoperability, lineage, access control, and multi-cloud integration
• Align data platform architecture with the USPD AI Roadmap
• Establish patterns for RAG, vector search, metadata-driven decisions, and multi-modal ingestion
• Provide Data & AI Architectural oversight for ongoing products like Finance, Pricing and Supply Chain Data Products, FIA, ContractIQ, and Specialty Leakage Agents
• Design and implement robust, scalable, and integrated data environment across the organization
• Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices
• Leverage tools and resources to plan, evaluate and execute strategic initiatives by mapping relational entities to use cases or business requirements and assisting in the development of data products
• Architect complex data systems that support scalable integration and optimal functioning of business-critical applications
• Manage creation of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation

Requirements

• 7+ years experience in data engineering and architecture
• Proven expertise in enterprise data architecture, including data requirements collection, data architecture analysis, Enterprise data modeling, semantic layers, large-scale integration
• Experience with Databricks
• Experience with Snowflake
• Experience with MDM
• Experience with SAP
• Experience with Salesforce/Conga
• Ability to simplify complex domains into intuitive patterns
• Leadership Skills: Delivery Ownership, ability to guide engineering teams for successful execution, and Change Champion
• Strong analytical skills
• Ability to develop strategies that align with long-term objectives
• Innovative and creative problem-solving skills

Qualifications

• Master's or Bachelor's degree in Computer Science, Engineering, or a related field
• 7+ years' experience in data engineering and architecture, including enterprise data architecture, data requirements collection, data architecture analysis, enterprise data modeling, semantic layers, and large-scale integration

Skills

* Required skills