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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Consumer Data Architect - **Company:** Eli Lilly and Company - **Location:** Indianapolis, IN, United States - **Experience:** Expert - **Salary:** $129,000.0 - $231,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Encodings, System Configuration, Data Architecture, Data Validation, Information Engineering, Data Governance, Entity Framework, Python (Programming Language), Operational Databases, Performance Tuning, Reference Data, Standard Sql, Data Streaming, Privacy Controls, Information Technology, Production Code, Data Analytics, Real Time Data, Apache Kafka, Data Management, Data Pipelines, Api Management, Databricks - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e3230e5289449d4c ## About the Role * 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 What Sets You Apart * 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 ## Description * Whole-stack ownership: You own the design from the Reltio entity model through Syrenis consent records to the Databricks tables analysts actually query. Not one layer of it. * Hard problems: One profile model, one consent model, many legal regimes. You design for data residency, lawful basis, and retention rules that change at every border. * You still build: Reference pipelines, match rules, API contracts, and proof-of-concept work are yours to write, not just to review. * Room to grow: The role is built to expand from domain architect for consumer data into a lead architect seat as Lilly Direct scales internationally. * Purpose: Getting this right means patients can reach Lilly medicines and services safely, and their data is handled the way they were told it would be. 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, This role sits with Consumer Data team supporting Lilly Direct in International Business Units. The team owns the profile and consent data that Lilly Direct experiences depend on in International Business Units markets. As Lilly Direct grows across those markets, the architect in this seat sets the technical patterns that later markets inherit. Our tech team builds and maintains capabilities using the same technology as the most prominent tech companies in the world, and every solution we deliver serves one purpose: creating medicines that make life better for people around the world. We hire technology professionals from a range of backgrounds so that diverse thinking shapes every product we build, from data-driven drug discovery to connected clinical trials. Ready to design the data architecture patients trust us with, in markets where the rules are all different? We'd love to hear from you. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.