Associate Director – Data Engineering Lead, LillyDirect Platform

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $132k - $193.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Eli Lilly and Company

WebsiteLinkedInAll Job Openings

10,000+ employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

💰 $6.5M Post-IPO Debt - Eli Lilly on 2024-02

Pharmaceuticals • Healthcare • Biotechnology

Eli Lilly and Company is a multinational pharmaceutical company that researches, develops, manufactures, and markets prescription medicines across multiple therapeutic areas including diabetes, oncology, immunology, neuroscience, and pain. Headquartered in Indianapolis, Indiana, Lilly is known for its extensive R&D, clinical development, and global commercialization of biologic and small-molecule drugs. The company focuses on drug discovery, clinical trials, regulatory approvals, and large-scale pharmaceutical manufacturing and distribution.

📋 Description

• Own the data engineering foundation for LillyDirect, Lilly's direct-to-patient pharmacy platform • Design, develop, and deliver patient analytics data products supporting prescription initiation, dispensing fulfillment, patient journey tracking, and program engagement analytics • Integrate LillyDirect data flows into the consumer first-party data ecosystem and 1PD data standards • Architect HIPAA-compliant data infrastructure, including authorization capture, SPI consent management, consent scoping, and revocation propagation • Design and implement tokenization and identity resolution pipelines linking prescription, dispensing, and intake pharmacy partner data • Build scalable data ingestion pipelines for pharmacy partner data and define data quality standards and validation processes • Deliver semantic layers, curated datasets, data dictionaries, and governed access patterns for BI reporting, self-service analytics, and agentic AI • Govern data access and privacy controls with legal, cyber, and privacy teams • Own data recertification milestones, Reltio/Cassie integrations, and consent scoping decisions • Collaborate with the LillyDirect product team, intake pharmacy partners, consumer first-party data platform team, and BIA platform enablement • Translate patient analytics requirements into technical specifications and governed, high-quality data products • Work with the Sr. Director – Consumer Data Engineering • Travel 0–25% depending on business need

🎯 Requirements

• Bachelor's and/or Master's Degree in Computer Science, Engineering, Statistics, Information Technology, Information Management, or related degree • 5+ years of experience in data engineering, with a focus on developing data products and solutions in healthcare, pharma, or similarly regulated environments • 5+ years of expertise in SQL and Python • 5+ years of hands-on experience with cloud-native data engineering tools such as Databricks, Delta Lake, and Apache Spark, and enterprise data warehouse platforms such as Snowflake, Redshift, or equivalent • Exposure to large-scale patient or clinical datasets • Experience with cloud platforms such as AWS or Azure • 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 • Experience designing and executing data ingestion pipelines for complex, multi-source data environments • Understanding of data modeling and database design • Knowledge of HIPAA regulations and healthcare data privacy requirements • Familiarity with patient data models such as OMOP/Common Data Model or equivalent preferred • Experience with patient analytics or healthcare data ecosystems, including prescription, dispensing, intake pharmacy, or medical claims data • Understanding of HIPAA authorization frameworks, SPI consent management, and consent revocation propagation • Tokenization and identity resolution experience • Semantic modeling and data dictionary development experience, including Power BI, Microsoft Fabric, or equivalent BI platforms • Familiarity with Databricks Unity Catalog, Delta Lake, and lakehouse architecture patterns • Record of leading complex, multi-stakeholder data engineering projects in regulated or compliance-driven environments • Knowledge of DevOps practices and CI/CD tools; GitHub-based version control and analytics scripting workflows • Experience with Agile/Scrum methodologies and project management tools such as JIRA • Ability to translate patient analytics requirements into scalable, privacy-first technical implementations

🏖️ Benefits

• Company bonus depending, in part, on company and individual performance • Company-sponsored 401(k) • Pension • Vacation benefits • Medical, dental, vision and prescription drug benefits • Flexible benefits, including 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, including employee assistance program, fitness benefits, and employee clubs and activities