Eli Lilly and Company · 8 hours ago
Data Architect - Data, Analytics & AI (Quality)
Indianapolis, IN
Full-time
Onsite
Senior Level, Lead/Staff
$141K/yr - $207K/yr
10+ years expEli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, focused on making life better for people around the world. They are seeking a Data Architect for Data, Analytics & AI (Quality) to lead the digital transformation of their global Quality function by enabling data-driven quality decisions and shaping their data product strategy.
BiotechnologyHealth CareMedicalPharmaceutical
Responsibilities
Partner with Lilly architects, software vendor, and third-party implementation partner to develop and execute on a technical strategy for Quality data structure and data products
Work with business to identify future uses for Lilly data and anticipated business results and enable processes to support these needs
Develop and provide expertise in enterprise data domains; this includes data relationships, data quality, understanding of business data needs and the associated technology toolsets and methodologies
Lead and mentor a team of data engineers, fostering a culture of collaboration, innovation, and excellence
Define and drive the data engineering strategy, aligning with business objectives and technical requirements
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and translate them into actionable engineering solutions
Design, develop, and maintain scalable and efficient data pipelines to support data analytics, reporting, and machine learning initiatives
Implement best practices for data ingestion, integration, transformation, and storage, ensuring data quality, reliability, and accessibility
Automate data pipeline processes to improve efficiency and reduce manual intervention, leveraging tools and frameworks such as Apache Airflow, Apache Kafka, and AWS Glue
Lead the development of data ingestion and integration processes, sourcing data from various internal and external sources
Collaborate with stakeholders to define data ingestion requirements and implement solutions for real-time and batch data integration
Ensure seamless data flow between systems and applications, optimizing data transfer and transformation processes for performance and scalability
Stay abreast of emerging technologies and trends in data engineering, continuously evaluating and adopting new tools and techniques to enhance our data infrastructure
Provide technical leadership and guidance on data engineering best practices, coding standards, and performance optimization techniques
Hands-on involvement in data engineering tasks, including coding, debugging, and troubleshooting complex data pipeline issues
Establish and enforce data engineering standards, policies, and procedures to ensure data quality, consistency, and compliance
Implement monitoring and alerting mechanisms to proactively identify and address data pipeline issues, ensuring minimal disruption to business operations
Collaborate with data governance and security teams to enforce data privacy and security measures across the data lifecycle
Lead support and enhancement of solutions from persistent pod standpoint
Create Operations Metrics, define parameters for data effectiveness, measure data drift and drive operational stability of models
Work with persistent pod including vendors to resolve outages, issues etc
Work closely with manufacturing and quality leadership teams to update and align on operational needs and quality standards
Collaborate effectively with cross-functional teams, including data scientists, engineers, analysts, and business stakeholders, to deliver integrated solutions that meet business requirements
Serve as a trusted advisor to senior leadership, providing insights and recommendations on technology trends, industry best practices, and strategic opportunities in data and AI
Mentor junior resources, providing guidance and support in technical skill development and project execution
Collaborate with vendors and partners to leverage external expertise and technologies, ensuring alignment with organizational goals and standards
Evaluate and select appropriate vendors and partners to support data and AI initiatives, fostering strong relationships and driving successful outcomes
Develop understanding how the enterprise data strategies, platforms, and technologies enable business execution. Use this knowledge to appropriately challenge status quo and drive business and Tech atLilly collaborations
Continuously scan the technology environment for new trends and techniques; interface with external consultants and thought leaders as needed
Synthesize new scalable approaches for Lilly data integration; derive the supporting arguments, communicate, and articulate the reasons for the new approaches to fellow engineers as well as senior management
Possess a deep working knowledge of how data is or will be used and implications on people, processes, capabilities, and technologies including analytics and data integrations
Work closely with data producers, information management, data engineers, AI/ML engineers and data consumers
Qualification
Required
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field; advanced degree preferred
10–12+ years of experience in data, analytics, or AI/ML roles
Experience working in regulated environments and with internal systems quality policies and procedures
Demonstrated communication, leadership, teamwork, project delivery, and problem solving skills
Experienced in architectural processes (e.g. blueprinting, reference architecture, governance, etc.)
Understanding of external data standards (e.g. HL7, CDISC, SDTM) and external data vocabularies (e.g. MedDRA, RxNorm, SNOMED)
Skills in data modeling, data warehousing, data integration, data governance and an understanding of data security, data standards, and cloud architecture principles
Demonstrated ability to influence IT and business strategies to drive large-scale outcomes
Validated skills of strong learning agility and relationship building to influence change using knowledge and relationships
Successful record of high quality, user focused, on-time & budget IT service and project delivery
Experience with formal project management methodologies, agile frameworks (including Scrum, Kanban, SAFe, etc.) and working knowledge of associated practices and tools
Excellent analytical, problem solving and communication skills, working across agile and diverse teams
A high level of intellectual curiosity, external perspective, and innovation interest
Experience designing large scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional)
Experience with data modelling tools like Erwin Data Modeler, ER/Studio, Lucidchart etc
Experience in several of the following disciplines: statistical methods, data modeling, data administration, ontology development, semantic graph construction and linked data, relational schema design
Demonstrated SQL/PLSQL and data modeling proficiency
Experience in AWS, Azure techstack and other cloud technologies
Experience with security models and development on large data sets
Experience working with a variety of relational and non-relational databases
Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models)
Experience with Agile Development, CI/CD, Jenkins, Github, Automation platforms
Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics
Demonstrated ability to communicate with a geographically dispersed group of business and technical colleagues
Ability to review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies
Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence
Experience in moving on premises solutions into cloud and knowledge in multiple data ingestion patterns
Preferred
Knowledge of GxP, Pharmaceutical manufacturing processes and automations systems
Benefits
Company bonus
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
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
10001+ employees
H1B Sponsorship
Eli Lilly and Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (514)
2024 (236)
2023 (167)
2022 (133)
2021 (57)
2020 (52)
Funding
Current Stage
Public CompanyTotal Funding
$6.5M2024-02-12Post Ipo Debt· $6.5M
1978-01-13IPO
Leadership Team
David Ricks
Chair, CEO
Lucas Montarce
Executive Vice President and Chief Financial Officer
Recent News
2026-01-13
GlobeNewswire
2026-01-13
Company data provided by crunchbase