Senior Risk Data Engineer, IRM & Fabric

Eli Lilly and Company; Indianapolis (IN); On-site; USD 124,500 - 182,600; Full time

Job summary

Lilly is seeking an Integrated Risk Data Engineer to lead data architecture and engineering initiatives powering risk intelligence across the enterprise. You will define the Microsoft Fabric architecture, build robust data pipelines, and ensure data quality and security across risk platforms.

Working within the IRM Analytics team, you will develop telemetry, governance standards, and AI-ready datasets for real-time risk monitoring and advanced analytics.

Qualifications

• Bachelor's degree in a related field and 5+ years of data engineering experience.
• Experience building data pipelines and data architectures in large enterprises.
• Strong knowledge of data governance, security, and data quality practices.

Responsibilities

• Own the Microsoft Fabric architecture and standards for IRM.
• Design and maintain data pipelines across disparate systems and risk platforms.
• Develop data models and Power BI semantic models for cross-functional analytics.
• Establish data governance, lineage, and access controls.
• Lead data engineering projects from planning through delivery.

Skills

Microsoft Fabric

SQL

Python

PySpark

Data governance

Power BI

Data modeling

Data pipelines

Azure Data Factory

Synapse Analytics

Education

Bachelor's Degree in Computer Science / Information Systems / Data Engineering

Tools

Fabric Data Factory

Synapse Analytics

Databricks

Job description

Lilly is seeking an Integrated Risk Data Engineer to lead data architecture and engineering initiatives powering risk intelligence across the enterprise. You will define the Microsoft Fabric architecture, build robust data pipelines, and ensure data quality and security across risk platforms.

Working within the IRM Analytics team, you will develop telemetry, governance standards, and AI-ready datasets for real-time risk monitoring and advanced analytics.