Lead Integrated Risk Data Architect

BioSpace; Indianapolis (IN); On-site; USD 124,500 - 182,600; Full time

Benefits offered by this job

401(k) plan

Pension plan

Vacation benefits

Medical, dental, vision benefits

Flexible benefits

Job summary

Lilly is seeking an Integrated Risk Data Engineer to lead data architecture and engineering for IRM, connecting data from ServiceNow GRC, SAP, Workday, and other systems into cohesive data ecosystems. You will implement Fabric-based pipelines and governance to enable risk visibility and analytics.

You will collaborate with Analytics Developers, Architects, and Data Scientists to deliver datasets powering dashboards, models, and risk assessments, ensuring data quality and timely insights across

Qualifications

• Bachelor's degree in a related field.
• 5+ years of professional experience in data engineering, ETL development, or data integration.
• Authorized to work in the United States on a full-time basis.

Responsibilities

• Own the data architecture and engineering initiatives for IRM across the enterprise.
• Design and implement data pipelines using Microsoft Fabric and medallion architecture.
• Develop unified data models and Power BI semantic models for cross-functional analytics.
• Establish data governance, data quality standards, and security controls.
• Lead migration and integration initiatives for new risk technologies and platforms.

Skills

Power BI modeling

SQL

Python/PySpark

Data architecture

Cross-functional collaboration

Data governance

Education

Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Microsoft Fabric

Data Factory

Synapse

Databricks

Power BI

ServiceNow GRC

SAP

Workday

SuccessFactors

Job description

Lilly is seeking an Integrated Risk Data Engineer to lead data architecture and engineering for IRM, connecting data from ServiceNow GRC, SAP, Workday, and other systems into cohesive data ecosystems. You will implement Fabric-based pipelines and governance to enable risk visibility and analytics.

You will collaborate with Analytics Developers, Architects, and Data Scientists to deliver datasets powering dashboards, models, and risk assessments, ensuring data quality and timely insights across