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.
Organization Overview
Lilly CIA powers the enterprise with governed, AI-ready data products, a converged semantic layer, and the identity and policy infrastructure behind Lilly’s digital experiences. Within CIA, the LillyDirect Covered Entity (CE) Pharmacy pod builds and operates the data platform that sits inside the pharmacy’s covered-entity trust boundary — handling identified PHI under HIPAA with strict isolation from parent-side systems. This role anchors the architecture of that platform.
Position SummaryThe CE Data Architect owns the end-to-end data architecture for the CE Pharmacy platform within the covered-entity boundary: the canonical data models, the medallion/lakehouse structure, the identity crosswalk, PHI classification, data contracts, and the isolation controls that keep identified PHI from crossing to parent-side systems without tokenization. This is a governance-first, evidence-based role that translates regulatory and privacy constraints into durable, load-bearing architecture — partnering closely with stewardship, policy-as-code, and engineering to ensure the platform is compliant, auditable, and built to scale.
Key Responsibilities- Own the canonical CE data architecture — conceptual, logical, and physical models across the Databricks / Unity Catalog medallion (bronze → silver → gold), scoped entirely within the CE trust boundary.
- Model the CE identity and crosswalk layer spanning Reltio MDM, Auth0/Passport, Datavant tokens, Scriptly, Genesys, Prescryptive, and Transcend — defining authoritative-anchor logic and safeguarding merge/split integrity.
- Author and steward data contracts (ODCS) for CE data products, defining schema, quality, freshness/SLA, and lineage expectations between producers and consumers.
- Codify PHI data classification across the ~300-field registry and ensure row/column-level security, masking, and tokenization boundaries are enforced architecturally — not merely documented.
- Design the CE isolation model that prevents identified PHI from crossing to parent-side systems without Datavant tokenization; partner with the Policy-as-Code Engineer to render architectural intent as OPA/Rego.
- Establish reference architecture and patterns so Analytics Engineers and Data Engineers build CE data products consistently and to standard.
- Define lineage, cataloging, and metadata strategy for CE, ensuring end-to-end traceability that supports audit readiness and incident response.
- Provide architectural review and gatekeeping for new CE data flows, integrations, and AI/agent consumption paths.
- Partner across governance and platform — HIPAA governance, Privacy, Legal/DLO, and platform owners (PPH) — to keep the architecture compliant and defensible.
- Enable Skill and agent development — architect the data contracts, reference patterns, and guardrails that let Applied-AI / Agent Engineers build CE Skills and agents against governed data, so PHI classification and consent travel with the data into agentic consumption.
- Supply CI/CD patterns for data, policy, and agent artifacts — define and standardize the pipelines (Azure DevOps, Git-based promotion across dev → test → prod) that version and ship models, ODCS contracts, OPA/Rego policies, Skills, and agents within the CE boundary.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 5+ years of experience in data architecture and/or data engineering, including enterprise-scale delivery.
- SQL and hands-on Databricks / Unity Catalog fluency (notebooks, Delta, catalog/schema/grants).
Additional Skills / Preferences
- Proficiency with Git-based CI/CD workflows (Azure DevOps or equivalent) for versioned data, contract, and policy artifacts.
- Demonstrated experience designing lakehouse / medallion architectures (Databricks, Unity Catalog, Delta).
- Hands-on data modeling across conceptual, logical, and physical layers, including canonical/converged and dimensional modeling.
- Experience with MDM / identity resolution (Reltio or comparable) and cross-system identifier crosswalks.
- Working knowledge of data governance, classification, and access control (RBAC/ABAC, row- and column-level security).
- Experience in regulated or healthcare data environments; familiarity with HIPAA, PHI handling, and covered-entity constructs.
- Data contract frameworks (ODCS or comparable) and policy-as-code (OPA/Rego) awareness.
- Tokenization / de-identification patterns (Datavant or comparable).
- Pharmacy or patient data flows and consent platforms (Transcend / Cassie).
- Ability to translate architecture clearly for legal, compliance, and engineering audiences.
- Cloud/data architecture certifications (AWS, Databricks).
- Python / PySpark and transformation-as-code (dbt) for reference pipelines, with a test framework (pytest, DLT / Great Expectations).
- Infrastructure-as-code (Terraform) for provisioning Unity Catalog, grants, and the CE isolation boundary.
- Experience architecting or building AI Skills and agents and operationalizing them through CI/CD.
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 - $189,200Full-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
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
- 5+ years of experience in data architecture and/or data engineering, including enterprise-scale delivery
- SQL and hands-on Databricks / Unity Catalog experience, including notebooks, Delta, catalogs, schemas, and grants
- Git-based CI/CD workflow experience using Azure DevOps or an equivalent platform
- Experience designing lakehouse or medallion architectures using Databricks, Unity Catalog, and Delta
- Hands-on conceptual, logical, and physical data modeling experience, including canonical, converged, and dimensional modeling
- Experience with MDM, identity resolution, or cross-system identifier crosswalks
- Knowledge of data governance, classification, RBAC/ABAC, and row- and column-level security
- Experience in regulated or healthcare data environments, including HIPAA and PHI handling
- Experience with data contract frameworks such as ODCS and policy-as-code tools such as OPA/Rego
- Experience with tokenization or de-identification patterns, such as Datavant
- Experience with pharmacy or patient data flows and consent platforms such as Transcend or Cassie
- Ability to communicate architecture to legal, compliance, and engineering audiences
- Cloud or data architecture certifications, such as AWS or Databricks certifications
- Python or PySpark and transformation-as-code experience with dbt and testing frameworks such as pytest, DLT, or Great Expectations
- Infrastructure-as-code experience using Terraform for Unity Catalog, grants, and isolation-boundary provisioning
- Experience architecting or building AI skills and agents and operationalizing them through CI/CD
Eli Lilly and Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Eli Lilly and Company and has not been reviewed or approved by Eli Lilly and Company.
-
Retirement Support — Feedback suggests long-term savings are bolstered by a defined-benefit pension alongside a company 401(k) match and retiree health options. These elements make total compensation feel strong beyond base salary.
-
Leave & Time Off Breadth — Feedback suggests paid time off is expansive, with substantial vacation, company shutdown days, and milestone time. This breadth of leave is viewed as a meaningful part of overall rewards.
-
Parental & Family Support — Feedback suggests family-building and caregiving support are robust, including paid parental leave, adoption or surrogacy assistance, and backup care. These programs enhance the perceived value of benefits across life stages.
Eli Lilly and Company Insights
What We Do
Eli Lilly and Company engages in the discovery, development, manufacture, and sale of products in pharmaceutical products business segment. For more than a century, we have stayed true to a core set of values – excellence, integrity, and respect for people – that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities through philanthropy and volunteerism.


.png)





