MD IDS - Product Delivery - Lead AI Data Engineer
Eli Lilly and Company14 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own and improve eCTS stored procedures, database objects, SQL, functions, scripts, and business logic.
- Design and evolve relational and non-relational data models for eCTS and IWRS.
- Lead database modernization, schema conversion, data mapping, ETL/ELT, cutover, reconciliation, and rollback planning.
- Create governed data products, APIs, metadata, lineage, semantic context, data contracts, and service-level agreements.
- Develop agentic AI, retrieval, vector search, evaluation, guardrail, human-approval, and observability capabilities.
- Establish database design, performance, security, reliability, testing, infrastructure-as-code, and database-as-code standards.
- Monitor and tune database performance and ensure high availability, backup, disaster recovery, data observability, and production support.
- Ensure compliance with GxP, ALCOA+, validation, Computer Software Assurance, ICH E6(R3), audit, encryption, access-control, and retention requirements.
- Provide technical leadership, review changes and pull requests, mentor engineers, and influence platform teams.
- Partner with product, engineering, architecture, quality, support, and operations teams through Agile delivery and successive releases.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
- 6+ years of hands-on database engineering or development experience.
- Experience leading database design and development for non-trivial software products.
- Experience delivering database migration or modernization efforts.
- Experience working with engineering teams in Agile environments.
- Strong SQL and relational database expertise, including performance tuning and query optimization.
- Deep hands-on experience with stored procedures, complex database logic, data modeling, and transactional and analytical use cases.
- Experience with ETL/ELT, data migration patterns, cloud data platforms, managed database services, database security, high availability, backup/recovery, and monitoring.
- Hands-on experience building AI- or LLM-enabled solutions such as agents, retrieval, or AI-assisted code and data workflows, including at least one solution used by others beyond a personal prototype.
- Experience with source control, CI/CD, automated migrations, and database change management.
- Ability to read and reason about application code and work autonomously while influencing other teams.
- Preferred experience in pharmaceutical, life sciences, clinical development, supply chain, regulatory, quality, clinical supply, manufacturing, or laboratory systems.
- Preferred understanding of GxP, validation, data integrity, regulated environments, and Computer Software Assurance.
- Preferred experience with agent frameworks, Model Context Protocol, LLM evaluation, AI observability, automated database testing, migration tools, infrastructure as code, event streaming, CDC, NoSQL, vector databases, lakehouse, or analytics platforms.
- Relevant database, cloud, or AI certifications are a plus.
Tech Stack
Categories
AI ApplicationsData Engineering
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.