CE Data Architect

BioSpace; Indianapolis (IN); On-site; USD 132,000 - 194,000; Full time

Benefits offered by this job

Annual bonus

401(k) plan

Healthcare benefits

Job summary

Lilly seeks a CE Data Architect to own end-to-end data architecture for the CE Pharmacy platform within the covered-entity boundary. You will manage canonical data models, medallion/ lakehouse structures, identity crosswalks, PHI classification, data contracts, and isolation controls to ensure compliance and scale.

You will collaborate with governance, policy-as-code, and engineering to build auditable, secure data products and enable CE Skills/agents with proper tokenization and guardrails.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• 5+ years of experience in data architecture and/or data engineering for enterprise-scale delivery.
• SQL and hands-on Databricks / Unity Catalog fluency (notebooks, Delta, catalog/schema/grants).

Responsibilities

• Own the canonical CE data architecture across the Databricks medallion (bronze → silver → gold) within the CE trust boundary.
• Model the CE identity and crosswalk layer spanning MDM, Auth0/Passport, Datavant tokens, and related systems.
• Author and steward data contracts (ODCS) for CE data products with schema, quality, freshness, and lineage.
• Codify PHI data classification across a 300-field registry and enforce row- and column-level security, masking, and tokenization boundaries.
• Design the CE isolation model to prevent PHI crossing to parent-side systems without tokenization (OPA/Rego).
• Establish reference architecture so Analytics Engineers and Data Engineers build CE data products consistently.
• Define lineage, cataloging, and metadata strategy for CE for audit readiness and incident response.
• Provide architectural review and gatekeeping for new CE data flows, integrations, and AI/agent consumption paths.
• Partner with HIPAA governance, Legal/DLO, and platform owners to keep the architecture compliant.
• Enable Skill and agent development with data contracts and guardrails for governed data.
• Supply CI/CD patterns for data, policy, and agent artifacts (Azure DevOps, Git) across CE boundary.

Skills

Databricks

Unity Catalog

Reltio MDM

PHI handling

HIPAA

Policy-as-Code (OPA)

Python / PySpark

Terraform

Education

Bachelor’s degree in Computer Science/Information Systems/Data Engineering

Tools

Databricks

Unity Catalog

Azure DevOps

Terraform

dbt

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 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.

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.
• SQL and hands-on Databricks / Unity Catalog fluency (notebooks, Delta, catalog/schema/grants).
• 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.
• 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

$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.

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