Senior Data Modeler (SQL Server | Pharma | AI)

We are looking for an experienced Senior SQL Server Data Modeler with strong expertise in designing OLTP enterprise data models for pharmaceutical applications. This is not a Data Engineering or Reporting role. The ideal candidate will work closely with Product and Business teams to understand business requirements, translate them into scalable data models, and collaborate with engineering teams to design robust application architectures. In addition to strong data modeling expertise, the candidate should have hands-on experience building AI-powered enterprise solutions using RAG, Prompt Engineering, and AI Agents. Pharmaceutical domain experience is mandatory. Key Responsibilities Collaborate with Product Managers and business stakeholders to gather and analyze requirements. Design conceptual, logical, and physical data models for enterprise OLTP applications. Create scalable SQL Server database architectures that support complex business workflows. Partner with engineering teams to translate data models into application design. Design data models for pharmaceutical pricing, market access, contracts, tenders, reference pricing, and related commercial processes. Ensure data integrity, normalization, performance, scalability, and maintainability across enterprise applications. Build AI-enabled enterprise solutions using: Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents Enterprise knowledge assistants Integrate LLMs with enterprise applications and structured SQL Server data. Design secure and scalable AI solutions that improve business productivity and decision-making. Required Skills SQL Server & Data Modeling SQL Server 2019/2022 Advanced T-SQL Enterprise OLTP Data Modeling Conceptual, Logical & Physical Data Models ER Modeling Database Architecture Design Normalization & Referential Integrity Performance Optimization Domain-Driven Design AI Technologies GPT/OpenAI or Azure OpenAI Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents Ve