
Senior Data Modeler, SQL Server, Pharma, AI
Posted Aug 7

Posted Aug 7
This is a fully remote position, open to applicants in India.
• Collaborate with Product Managers and business stakeholders to gather and evaluate requirements.
• Design conceptual, logical, and physical data models for enterprise OLTP applications.
• Develop scalable SQL Server database architectures that support intricate business workflows.
• Work alongside engineering teams to convert data models into application designs.
• Create data models for pharmaceutical pricing, market access, contracts, tenders, reference pricing, and other related commercial processes.
• Ensure the integrity, normalization, performance, scalability, and maintainability of enterprise applications.
• Construct AI-enabled enterprise solutions utilizing RAG, Prompt Engineering, AI Agents, and enterprise knowledge assistants.
• Integrate LLMs with enterprise applications and structured SQL Server data.
• Develop secure and scalable AI solutions that enhance business productivity and decision-making.
• Over 8 years of experience in SQL Server Data Modeling.
• Demonstrated experience in designing enterprise OLTP applications based on business requirements.
• Experience collaborating directly with Product Owners and business stakeholders.
• Strong skills in database architecture and application design.
• Practical experience in building AI-powered enterprise solutions using RAG, Prompt Engineering, and AI Agents.
• Experience in the pharmaceutical industry is essential.
• Proficiency in SQL Server 2019/2022.
• Advanced knowledge of T-SQL.
• Expertise in enterprise OLTP data modeling.
• Ability to create conceptual, logical, and physical data models.
• Skilled in ER modeling.
• Competent in database architecture design.
• Knowledge of normalization and referential integrity.
• Experience in performance optimization.
• Familiarity with Domain-Driven Design.
• Knowledge of GPT/OpenAI or Azure OpenAI.
• Experience with vector databases.
• Understanding of semantic search.
• Experience in enterprise AI applications.
• Work remotely.
• Join a Great Place to Work-certified employer.
• Be part of an inclusive and diverse workplace.
• Equal Opportunity Employer.
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