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Eli Lilly and Company

Associate Director – Integrated Risk Data Engineer

Eli Lilly and Company

Integrated Risk Data Engineer leading data architecture and engineering initiatives at Lilly. Responsible for designing data pipelines and ensuring accurate risk data access across the enterprise.

Posted 7/28/2026full-timeIndianapolis • 🇺🇸 United StatesSenior💰 $124,500 - $182,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture and engineering, particularly with Microsoft Fabric, to design and implement robust data pipelines and governance frameworks. Proven ability to lead complex data initiatives while ensuring data quality, security, and accessibility across enterprise risk management.

Highest-signal resume keywords
Microsoft Fabric ArchitectureData Pipeline DevelopmentAdvanced SQL SkillsData Governance StandardsETL Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringPython/PySparkSQLDimensional ModelingMedallion ArchitectureData Warehouse ConceptsData IntegrationData ObservabilityAPI IntegrationData Transformation
Soft Skills
Problem-SolvingCollaborationDetail-OrientedSelf-DirectedInitiative
Tools & Technologies
Microsoft FabricAzure Data FactorySynapse AnalyticsPower BIServiceNowPower PlatformDataflows Gen2LakehouseData WarehouseData Factory
Industry Keywords
Risk ManagementComplianceGovernanceHealthcarePharmaceuticalData GovernanceAuditAssuranceRegulated IndustriesData Quality

Tech Stack

Tools & technologies
AzureCloudETLPySparkPythonServiceNowSQL

About the role

Key responsibilities & impact
  • Serve as the technical expert who owns the data foundation powering risk intelligence across the enterprise
  • Independently lead data architecture and engineering initiatives from conception through delivery
  • Integrate fragmented systems, design unified data pipelines, and ensure risk leaders have access to complete, accurate, and timely risk data
  • Define and implement the Microsoft Fabric architecture and data governance framework
  • Own the Microsoft Fabric architecture for IRM, defining standards, design patterns, and best practices
  • Design, build, and maintain enterprise risk data pipelines using Microsoft Fabric with medallion architecture
  • Lead data pipeline and transformation initiatives
  • Establish data governance standards that ensure data quality, security, and accessibility
  • Serve as a key technical resource partnering with Analytics Developers, Architects, and Data Scientists
  • Optimize data pipeline performance using Fabric's compute resources and data storage options
  • Design and implement data observability and monitoring solutions
  • Lead migration and integration initiatives as new risk technologies and platforms are adopted
  • Define and maintain comprehensive documentation standards for data lineage, transformation logic, data dictionaries, and technical architecture

Requirements

What you’ll need
  • Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or related field
  • 5+ years of relevant professional experience in data engineering, ETL development, or data integration
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role.
  • Expert proficiency with Microsoft Fabric (preferred) or similar cloud data platforms (Azure Data Factory, Synapse Analytics, Databricks)
  • Advanced SQL and Python/PySpark skills
  • Experience integrating LLM/API-based workflows (RAG, embeddings, enterprise LLM gateways)
  • Demonstrated experience leading data engineering projects from planning through delivery
  • Strong understanding of Power BI data modeling, semantic model design, and optimizing datasets for analytical performance
  • Hands-on experience with Microsoft Fabric components including Data Factory, Synapse Data Engineering, Data Warehouse, Lakehouse, and Dataflows Gen2
  • Experience designing and implementing medallion architecture or similar layered data lake design patterns at enterprise scale
  • Experience with ServiceNow platform, ServiceNow GRC, or other governance, risk, and compliance systems
  • Proficiency in dimensional modeling, star schema design, and data warehouse concepts
  • Experience in pharmaceutical, healthcare, or highly regulated industries with complex data governance requirements
  • Background in risk management, audit, compliance, or assurance domain data
  • Familiarity with Power Platform integration (Power Automate, Power Apps) with Fabric
  • Strong problem-solving skills
  • Excellent ability to collaborate effectively with both technical teams and non-technical business stakeholders
  • Detail-oriented with a commitment to data quality and comprehensive documentation
  • Self-directed professional who works independently, takes initiative on complex problems, and proactively identifies opportunities for improvement

Benefits

Comp & perks
  • eligibility to participate in a company-sponsored 401(k)
  • pension
  • vacation benefits
  • eligibility for medical, dental, vision and prescription drug benefits
  • flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
  • life insurance and death benefits
  • certain time off and leave of absence benefits
  • well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)