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Consumer Data Architect

Pay
$129,000–231,000/yearAnnual period assumed — pay source
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $129,000 - $231,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workYou must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered

What you’ll work on

Full posting
  • Design the consumer and patient entity model, match rules and golden record on Reltio

  • Design the consent and preference model on Syrenis and how consent state is shared

  • Design curated profile and consent data products on Databricks with access controls

  • Define API and event patterns on AWS that keep the systems in sync

  • Build reference pipelines and integration code, then hand them to engineers

From the employer’s posting
design and maintain the consumer and patient entity model on Reltio, including match rules, survivorship, golden record definition
design the consent and preference model on Syrenis
design the curated profile and consent data products on Databricks
define the API and event patterns on AWS that keep Reltio, Syrenis, Databricks, and the Lilly Direct experiences in sync
build the first version of new patterns yourself, including Reltio configuration, Databricks pipelines, and integration code
Apply at Eli Lilly

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$129K–$231K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Eli Lilly is hiring

19 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Databricks
  • Kafka
Where the posting names them
- 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
At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying. 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. You own the data model, the match and survivorship rules, the consent model, and the event and API patterns that move data between systems. You write the reference implementations and review what engineers build against them. You are also the person who gets asked why the design is the way it is. Each new IBU market tests whether the architecture bends or breaks. Your job is to make sure it bends.
- 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
- 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
Why You'll Love This Role - 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.
- 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
- 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
- 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
- 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

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. 


At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying. 

 

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. You own the data model, the match and survivorship rules, the consent model, and the event and API patterns that move data between systems. You write the reference implementations and review what engineers build against them. You are also the person who gets asked why the design is the way it is. Each new IBU market tests whether the architecture bends or breaks. Your job is to make sure it bends.

 

Why You'll Love This Role

  • 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

 

Your Minimum 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

 

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

 

About the Team

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.


Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).


Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

$129,000 - $231,000

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

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Pay
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $129,000 - $231,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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US, Indianapolis IN

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