Associate Director - Integrated Risk Data Engineer
Eli Lilly and Company
August 18, 2026
Remote friendly (Indiana, United States)
United States
IT
Integrated Risk Data Engineer
Primary Position Responsibilities
- Own Microsoft Fabric architecture for IRM (standards, design patterns, best practices) for scalable, maintainable, high-performing infrastructure.
- Design, build, and maintain enterprise risk data pipelines using Microsoft Fabric with medallion architecture (bronze/silver/gold) integrating multiple risk domains and enterprise systems.
- Architect workflows using Fabric Data Factory, Synapse Data Engineering (Spark notebooks), and Dataflows Gen2 to consolidate fragmented risk data (e.g., ServiceNow GRC, SAP, Workday, SuccessFactors, assurance platforms).
- Create unified data models and Power BI semantic models for consistent, accurate cross-functional risk analytics.
- Establish IRM data governance (quality, validation, monitoring, security, access controls).
- Partner with Analytics Developers/Architects/Data Scientists to deliver datasets powering dashboards, reports, predictive models, and risk assessments.
- Build automated/scalable Fabric pipelines and dataflows for real-time or near-real-time monitoring.
- Implement data observability/monitoring to identify and resolve data quality issues.
- Lead migration/integration initiatives for new risk platforms.
- Respond to complex data requests; deliver clean, well-documented datasets for assessments, audits, investigations.
- Maintain documentation standards (lineage, transformations, dictionaries, technical architecture).
Basic Qualifications/Requirements
- Bachelor’s degree in CS/Information Systems/Data Engineering or related.
- 5+ years data engineering/ETL/data integration with increasing responsibility.
Additional Skills/Preferences
- Expert Microsoft Fabric (preferred) or Azure Data Factory/Synapse/Databricks; define architecture standards.
- Advanced SQL and Python/PySpark; Spark notebook pipeline development; Git-based version control.
- LLM/API workflow integration (RAG/embeddings/LLM gateways); interest in agentic tool-calling (e.g., MCP).
- Power BI semantic modeling; dimensional modeling/star schema; medallion/layered lake patterns.
- ServiceNow GRC or governance/risk/compliance systems; regulated industry experience.
- Problem-solving, collaboration, data quality focus, self-directed.
Travel
- Up to 5–10%.
Benefits
- Eligibility for company bonus; 401(k) match/pension; vacation; medical/dental/vision; prescription; flexible benefits; life insurance/death benefits; time off/leave; well-being benefits (EAP, fitness, clubs).
Application Instructions
- If you need accommodation to submit a resume, complete Lilly’s workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation
Primary Position Responsibilities
- Own Microsoft Fabric architecture for IRM (standards, design patterns, best practices) for scalable, maintainable, high-performing infrastructure.
- Design, build, and maintain enterprise risk data pipelines using Microsoft Fabric with medallion architecture (bronze/silver/gold) integrating multiple risk domains and enterprise systems.
- Architect workflows using Fabric Data Factory, Synapse Data Engineering (Spark notebooks), and Dataflows Gen2 to consolidate fragmented risk data (e.g., ServiceNow GRC, SAP, Workday, SuccessFactors, assurance platforms).
- Create unified data models and Power BI semantic models for consistent, accurate cross-functional risk analytics.
- Establish IRM data governance (quality, validation, monitoring, security, access controls).
- Partner with Analytics Developers/Architects/Data Scientists to deliver datasets powering dashboards, reports, predictive models, and risk assessments.
- Build automated/scalable Fabric pipelines and dataflows for real-time or near-real-time monitoring.
- Implement data observability/monitoring to identify and resolve data quality issues.
- Lead migration/integration initiatives for new risk platforms.
- Respond to complex data requests; deliver clean, well-documented datasets for assessments, audits, investigations.
- Maintain documentation standards (lineage, transformations, dictionaries, technical architecture).
Basic Qualifications/Requirements
- Bachelor’s degree in CS/Information Systems/Data Engineering or related.
- 5+ years data engineering/ETL/data integration with increasing responsibility.
Additional Skills/Preferences
- Expert Microsoft Fabric (preferred) or Azure Data Factory/Synapse/Databricks; define architecture standards.
- Advanced SQL and Python/PySpark; Spark notebook pipeline development; Git-based version control.
- LLM/API workflow integration (RAG/embeddings/LLM gateways); interest in agentic tool-calling (e.g., MCP).
- Power BI semantic modeling; dimensional modeling/star schema; medallion/layered lake patterns.
- ServiceNow GRC or governance/risk/compliance systems; regulated industry experience.
- Problem-solving, collaboration, data quality focus, self-directed.
Travel
- Up to 5–10%.
Benefits
- Eligibility for company bonus; 401(k) match/pension; vacation; medical/dental/vision; prescription; flexible benefits; life insurance/death benefits; time off/leave; well-being benefits (EAP, fitness, clubs).
Application Instructions
- If you need accommodation to submit a resume, complete Lilly’s workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation