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$132k–$194k/yr
Full-time
bachelor degree
401(k), Pension, Vacation benefits, Medical insurance, Dental insurance, Vision insurance
Posted 11d ago
~40 hrs/week
Responsibilities
The CE Data Architect owns the end-to-end data architecture for the pharmacy platform, including canonical data models and medallion lakehouse structures. They are responsible for ensuring compliance with HIPAA and privacy regulations while designing isolation controls to protect identified PHI.
Requirements
Candidates must have a bachelor's degree in a relevant field and at least 5 years of experience in data architecture or engineering. Proficiency in SQL, Databricks, and Unity Catalog is required, along with authorization to work in the United States.
Full job description
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 Summary
The 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 layerspanning 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 classificationacross the 300-field registry and ensure row/column-level security, masking, and tokenization boundaries are enforced architecturally — not merely documented.
Design the CE isolation modelthat 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 patternsso Analytics Engineers and Data Engineers build CE data products consistently and to standard.
Define lineage, cataloging, and metadata strategyfor CE, ensuring end-to-end traceability that supports audit readiness and incident response.
Provide architectural review and gatekeepingfor 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.
Basic Requirements
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.
Qualified applicants 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 for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.
Additional Skills / Preferences
Proficiency with Git-based CI/CD workflows (Azure DevOps or equivalent) for versioned data, contract, and policy artifacts.
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
$132,000 - $193,600
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
Related keywords
Data ArchitectureDatabricksUnity CatalogMedallion ArchitectureHIPAAPHIData GovernanceReltioMDMData ContractsOPARegoAzure DevOpsPythonPySparkdbt
We're a medicine company turning science into healing to make life better for people around the world. It all started nearly 150 years ago with a clear vision from founder Colonel Eli Lilly: "Take what you find here and make it better and better." Harnessing the power of biotechnology, chemistry and genetic medicine, our scientists are urgently advancing science to solve some of the world's most significant health challenges.
General Information and Guidelines:
When you engage with us on LinkedIn, you're agreeing to these Community Guidelines: https://e.lilly/guidelines.
If you have questions about a Lilly medicine, contact The Lilly Answers Center at 1-800-Lilly-Rx (1-800-545-5979) Monday through Friday, excluding company holidays.
Offices: Lilly Corporate Center, Indianapolis, Indiana 46285, US
Pharmaceutical DevelopmentPharmaceuticalsBiotechand BiopharmaceuticalsService IndustryHealth CareEducationGeneticsMedicalChild Care
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