Lead Data Architect - w2

Overview

Long term contract. Need local working with good healthcare clients working in constant location.

Job Title:

Senior / Lead Data Architect. Client:
McKesson.

Location:

Dallas, TX. Duration:
Long term contract.

Our Data team is looking for a Senior / Lead Data Architect to support key data initiatives. DI team focuses on facilitating data driven change and creating business value through data and advanced analytics. Define enterprise-wide data and semantic architecture to support AI-driven insights and automation. Able to lead Design of AI ready “Intelligent Data Platform” ensuring consistent, governed, interoperable data across platforms and BU segments.

• 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, 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, Contract
  
  IQ, 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. Employ sophisticated design principles and tools to model data flows and structures that enhance data accessibility and utility.
• Manage creation of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation.

• Typically requires 7+ years' experience in data engineering and architecture.
• Master's or Bachelor’s degree in Computer Science, Engineering, or a related field.

Proven Expertise: Minimum of 7+ years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, Enterprise data modeling, semantic layers, large-scale integration;
Databricks, Snowflake, MDM, SAP, Salesforce/Conga; ability to simplify complex domains into intuitive patterns.

Leadership Skills: Delivery Ownership & able to guide engineering teams for successful execution and Change Champion.

Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives.

Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.

Rachael

IT Services | Development | Staffing

Direct:

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