Associated Director of CE Data Engineering
Eli Lilly and Company
August 29, 2026
Remote friendly (Indianapolis, IN)
United States
IT
Position Summary
Associate Director of CE Data Engineering owns engineering delivery and standards for the CE Pharmacy data platform on Databricks.
Key Responsibilities
- Lead CE Data Engineering strategy; set standards for pipeline design, testing, and code quality aligned to canonical models and the isolation boundary.
- Own end-to-end engineering delivery lifecycle (requirements/prototyping → production deployment/maintenance) for CE data pipelines.
- Standardize Databricks capabilities/integration patterns (Unity Catalog, Delta Lake, Workflows, serverless compute, Lakebase) for performance, cost, and scalability.
- Establish/enforce data quality, testing/validation (pytest, DLT/Great Expectations) and monitoring/alerting.
- Own CE CI/CD strategy (GitHub Actions; git promotion dev→test→prod) for data, contracts, policy, and agent artifacts.
- Enforce standard CE data asset lifecycle processes with CE Data Architect, DataHub Product Owner, and Policy-as-Code Engineer.
- Partner with HIPAA governance, Privacy, Legal/DLO, and platform owners to keep engineering compliant.
- Advise teams on proper use of CE data; communicate delivery status, risk, and tradeoffs.
- Lead special projects for the CE Pharmacy platform.
Basic Qualifications
- Bachelor’s in CS/Engineering/IT/Information Management (or similar).
- 8+ years data engineering; 3+ years leading data engineering teams.
- Expert SQL, Python, Databricks/Unity Catalog (Delta Lake, Workflows, notebooks, grants) at production scale.
- US work authorization required; visa sponsorship not provided.
Additional Skills / Preferences
- Enterprise ingestion pipelines; regulated/PHI environments and HIPAA covered-entity handling.
- Git-based CI/CD; data modeling/development/governance (RBAC/ABAC, row/column security).
- Problem-solving translating business/regulatory needs into engineering standards; strong communication and influence.
- Familiarity with PHI classification, tokenization/de-identification, data contracts (ODCS), policy-as-code (OPA/Rego), DevOps/CI/CD automation (Terraform), Agile/Scrum/JIRA, and AI agent operationalization via CI/CD.
Travel: 0–10%.
Benefits (if eligible): company bonus (based on performance), 401(k), pension, vacation; medical/dental/vision/prescription; flexible benefits; life insurance; time off/leave; well-being (EAP, fitness, clubs/activities).
Associate Director of CE Data Engineering owns engineering delivery and standards for the CE Pharmacy data platform on Databricks.
Key Responsibilities
- Lead CE Data Engineering strategy; set standards for pipeline design, testing, and code quality aligned to canonical models and the isolation boundary.
- Own end-to-end engineering delivery lifecycle (requirements/prototyping → production deployment/maintenance) for CE data pipelines.
- Standardize Databricks capabilities/integration patterns (Unity Catalog, Delta Lake, Workflows, serverless compute, Lakebase) for performance, cost, and scalability.
- Establish/enforce data quality, testing/validation (pytest, DLT/Great Expectations) and monitoring/alerting.
- Own CE CI/CD strategy (GitHub Actions; git promotion dev→test→prod) for data, contracts, policy, and agent artifacts.
- Enforce standard CE data asset lifecycle processes with CE Data Architect, DataHub Product Owner, and Policy-as-Code Engineer.
- Partner with HIPAA governance, Privacy, Legal/DLO, and platform owners to keep engineering compliant.
- Advise teams on proper use of CE data; communicate delivery status, risk, and tradeoffs.
- Lead special projects for the CE Pharmacy platform.
Basic Qualifications
- Bachelor’s in CS/Engineering/IT/Information Management (or similar).
- 8+ years data engineering; 3+ years leading data engineering teams.
- Expert SQL, Python, Databricks/Unity Catalog (Delta Lake, Workflows, notebooks, grants) at production scale.
- US work authorization required; visa sponsorship not provided.
Additional Skills / Preferences
- Enterprise ingestion pipelines; regulated/PHI environments and HIPAA covered-entity handling.
- Git-based CI/CD; data modeling/development/governance (RBAC/ABAC, row/column security).
- Problem-solving translating business/regulatory needs into engineering standards; strong communication and influence.
- Familiarity with PHI classification, tokenization/de-identification, data contracts (ODCS), policy-as-code (OPA/Rego), DevOps/CI/CD automation (Terraform), Agile/Scrum/JIRA, and AI agent operationalization via CI/CD.
Travel: 0–10%.
Benefits (if eligible): company bonus (based on performance), 401(k), pension, vacation; medical/dental/vision/prescription; flexible benefits; life insurance; time off/leave; well-being (EAP, fitness, clubs/activities).