Consumer Data Architect
Eli Lilly and Company
Summary
Every patient or consumer record that Lilly Direct creates in an International Business Unit (IBU) market has to be matched, merged, governed, and shared under that market's privacy law. You will design the architecture that makes that happen: profile master data on Reltio, consent and preference data on Syrenis, curated data products on Databricks, and the integration layer on AWS that ties them to the Lilly Direct experiences. You will also build the first version of it with your own hands. This is a hands-on architecture seat.
Job description
What You'll Be Doing
Design the Architecture
- Profile MDM: design and maintain the consumer and patient entity model on Reltio, including match rules, survivorship, golden record definition, and reference data, so a single standard holds across IBU markets while allowing for local variation
- Consent: design the consent and preference model on Syrenis, covering consent types, lawful basis, purpose, channel, and retention, and define how consent state is exposed to every system that needs it
- Lakehouse: design the curated profile and consent data products on Databricks, including the medallion layers, data quality checks, and access controls that keep personal data where it is allowed to be
- Integration: define the API and event patterns on AWS that keep Reltio, Syrenis, Databricks, and the Lilly Direct experiences in sync, including which system is the source of truth for each attribute
- Market onboarding: define the repeatable technical pattern for bringing a new IBU market onto the platform, from data residency and pseudonymization through consent configuration and integration
- Standards: write architecture decision records and design standards, then run design reviews against them
Build and Prove It
- Reference implementations: build the first version of new patterns yourself, including Reltio configuration, Databricks pipelines, and integration code, then hand them to engineers to scale
- Data quality: design and implement the match tuning and quality monitoring that keep the golden record trustworthy as volume grows
- Privacy engineering: implement the technical controls behind Protect Lilly and local privacy requirements, such as pseudonymization and consent-driven access
- Technical direction: set direction for engineers and contractors, review their work, and own the technical quality of what ships
Where This Role Is Headed (2026-2028)
- Evolve: grow from domain architect into a lead architect for consumer data in IBU as more of the execution work is automated and the market footprint expands
- Encode the domain: document profile and consent domain knowledge as data contracts and reusable patterns so other teams, and where it makes sense automated pipelines, can rely on them
- Governance as code: move privacy and consent controls out of manual review and into the platform as enforceable policy
Requirements
- Bachelor's degree in computer science, information technology, management information systems, or a related technical field
- 7+ years in data engineering or data architecture, with demonstrated ownership of a production data platform
- Hands-on experience designing and configuring a master data management platform, including data modeling, match and merge rules, and survivorship
- Hands-on experience with Databricks or a comparable lakehouse platform, including pipeline development and data quality implementation
- Experience building on AWS, including integration patterns such as APIs and event streaming
- Strong SQL and Python; you write production code, not just read it
- Experience applying quality, compliance, and data governance requirements in a regulated environment
- Direct experience with Reltio, including entity modeling, match rule tuning, and the Reltio APIs
- Experience with a consent and preference management platform such as Syrenis, and an understanding of how consent state should flow to downstream systems
- Experience with event streaming platforms such as Kafka for near real-time data synchronization
- Experience with privacy engineering: pseudonymization, data residency, retention enforcement, and consent-driven access control
- Experience with consumer or patient data in more than one country, and a working understanding of how privacy requirements differ
- A track record of writing architecture decisions that engineers followed and leaders understood
- Comfort with ambiguity; the operating model here is still being built
Benefits
- 401(k) Matching
- Pension
- Vacation Benefits
- Medical, Dental & Vision
- Prescription Drug Benefits
- Flexible Spending Accounts
- Life Insurance
- Death Benefits
- Employee Assistance Program
- Fitness Benefits
- Employee Clubs & Activities
- Company Bonus
Company overview
Eli Lilly and Company, commonly known as Lilly, is a leading American multinational pharmaceutical corporation headquartered in Indianapolis, Indiana. Founded in 1876 by Colonel Eli Lilly, the company has grown into one of the world's most valuable pharmaceutical enterprises, with operations in approximately 125 countries. Lilly specializes in developing and manufacturing innovative medicines across multiple therapeutic areas, including diabetes, oncology, neuroscience, immunology, and cardiometabolic diseases. The company is renowned for its groundbreaking work in insulin production, having been the first to mass-produce insulin and later developing the first commercially available insulin product in the U.S. Lilly's current portfolio includes blockbuster medications such as Mounjaro and Zepbound (tirzepatide) for diabetes and obesity, Trulicity (dulaglutide) for type 2 diabetes, Verzenio (abemaciclib) for breast cancer, and Taltz (ixekizumab) for autoimmune conditions. With approximately 47,000 employees worldwide, Lilly maintains a strong commitment to research and development, investing heavily in scientific innovation to address some of the world's most significant health challenges. The company operates with a mission to make life better for people around the world through the discovery and delivery of innovative medicines.