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Lilly Data Architect in Indianapolis, Indiana

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Organization Overview:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Position Brand Description :

Manufacturing and Quality Information and Digital Services (MQ IDS) supports manufacturing operational excellence and productivity efforts through utilization of information and technology.

MQ IDS strives to enable the making of medicine “with safety first and quality always”.

In the pharmaceutical manufacturing industry, a convergence of information technology (IT) and operations technology (OT) is occurring.

The emergence of technologies related to “Industry 4.0” is transforming our operations.

Significant investment and usage of data and analytics in the making of medicine is occurring where capabilities from simple visualizations to predictive and prescriptive analytics and machine learning are rapidly emerging across the global manufacturing landscape.

The MQ IDS organization is engaged in an exciting phase of transformation as we drive our Digital Plant vision across Lilly manufacturing.


The Global DIA Data Architect position serves as principal subject matter expert (SME) and custodian of the data asset, the data within that asset, security, tools, and integrated services.

This position is accountable for design, validation, stabilization continuous improvement and overall data quality that enables continued growth of the portfolio of data solutions and services that power the business.

This position reports to the Global MQ Data Integration and Analytics (DIA) Associate Director.

Basic Qualifications/Requirements:

Bachelor’s degree or higher in Computer Science, Management of Information Systems, Data Science, or Engineering

Knowledge of GxP, Supply Chain, Pharmaceutical manufacturing processes and automation systems

Minimum 5 years of relevant experience with data architecture design

Experience in Computer System Validation (CSV) processes and Data Integrity (DI) concepts

5 years of industry, domain, and technical experience

Additional Skills/Preferences:

Experience with Agile Methodology

ITIL certification

Knowledge of best practices for code review and management in GitHub

Experience in design and development of data lakes, data warehouses, data marts and schema design

Building and maintaining complex data pipelines

Expertise in performing data extraction, profiling, cleansing, conversion, transformation and loading of data

Excellent communication, interpersonal, and influencing skills.

Ability to carry on conversations with business customers, upper management, and technical personnel.

Experience working in a multicultural, international team environment where team members are spread into different countries

Ability to thrive in a complex, changing, virtual environment with multiple competing priorities

Strong problem solving and organizational skills

A high level of intellectual curiosity, external perspective, and innovation interest

Strong analytical, problem solving and investigative skills

Experience with security models and development on large data sets

Demonstrated understanding of data privacy and CCI requirements and experience delivering within those requirements.

Excellent self-management skills.

Knowledge of data science technologies like R, Keras or TensorFlow

Knowledge of ML/AI and natural language processing

Experience implementing and leading data governance

Experience working in a regulated environment

Manufacturing Operations experience preferred

Pharma Manufacturing experience strongly desired.

Multi-Site, Global IT Project Experiences strongly desired

Technical Experience:

Knowledge of CI/CD, Infrastructure as Code and more generally Everything as Code

Experience with DBMS software and tools (PostgreSQL, Oracle, Snowflake, Teradata, MS SQL Server, MongoDB, Toad, Hadoop, CouchDB, etc.)

Expertise in data management (structured/unstructured), data mining and reporting technologies

Extensive experience with data modeling using Erwin, PowerDesigner, Toad or similar software

Experience working with Amazon AWS, Microsoft Azure, Spark framework

Experience with a multitude of AWS services; especially Glue, DMS, CloudFormation, IAM, Route53, ALB/ELB, VPC, EC2, Lambda, S3, KMS, CloudTrail, Config, CloudWatch

Experience with Azure services; especially Azure Data Factory, Azure Resource Manager, Azure Synapse, Azure Functions, Azure Data Lake Analytics, Azure Data Lake Storage, Azure Monitor

Experience with SQL, PL/SQL, Python, Spark Framework, YAML, JSON, Chef

Experience with Docker, NodeJS, Ansible, Docker, Jenkins, Unix, Linux

Strong understanding of cybersecurity operation principles

Knowledge of industry standard NIST framework

Additional Information

Travel outside the US may be required (Approx. 10% – 20%)

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).