Manager Data Engineering
About The Position
The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that support enterprise reporting, analytics, and data science. This role is critical in delivering data across a hybrid architecture, with a strong emphasis on our modern cloud data lakehouse platform that follows structured frameworks such as the medallion architecture (bronze, silver, gold layers). WHO WE ARE With 12 ministries and access points across Indiana and Illinois, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve. WHAT YOU CAN EXPECT Lead, mentor, and develop a high-performing data engineering team, fostering a culture of technical excellence, accountability, and continuous improvement in data pipeline development and delivery. Design, implement, and maintain scalable, efficient ETL/ELT pipelines across cloud and legacy systems. Develop robust data models leveraging best practices such as the medallion architecture (Bronze, Silver, Gold layers) to organize raw, refined, and curated data for trusted analytics. Ensure data workflows and structures are optimized to support analytical, operational, and self-service use cases with high performance, reliability, and maintainability. Deliver and support seamless data integration in and out of enterprise data platforms ensuring timely, accurate, and secure data availability for reporting, analytics and other data needs. Drive adoption of best practices in data engineering design and coding standards to ensure scalable, maintainable, and reusable solutions aligned with architectural principles.
Requirements
- Bachelor's Degree Computer Science, Information Systems or related field - Required
- 4 years Relevant work experience managing/leading data engineering teams - Required
- 3 years Hands-on development experience with Moden Cloud Data Platforms (Azure, AWS, Google, etc.) - Required
- 7 years Hands-on data engineering experience with ELT/ETL, Pipelines, Modeling, Warehousing, etc. - Required
- 3 years Advanced experience with SQL & Python - Required
Nice To Haves
- Master's Degree Computer Science, Information Systems or related field - Preferred
- 3 years Experience modeling data for BI Platforms (Power BI, Tableau, BOE) with medallion architecture - Preferred
- 3 years Experience with Epic Cogito data platforms & reporting tool - Preferred
- 3 years Experience with DevOps, CI/CD & Agile delivery - Preferred
- 3 years Experience with DevOps, CI/CD & Agine delivery - Preferred
Responsibilities
- Lead, mentor, and develop a high-performing data engineering team, fostering a culture of technical excellence, accountability, and continuous improvement in data pipeline development and delivery.
- Design, implement, and maintain scalable, efficient ETL/ELT pipelines across cloud and legacy systems.
- Develop robust data models leveraging best practices such as the medallion architecture (Bronze, Silver, Gold layers) to organize raw, refined, and curated data for trusted analytics.
- Ensure data workflows and structures are optimized to support analytical, operational, and self-service use cases with high performance, reliability, and maintainability.
- Deliver and support seamless data integration in and out of enterprise data platforms ensuring timely, accurate, and secure data availability for reporting, analytics and other data needs.
- Drive adoption of best practices in data engineering design and coding standards to ensure scalable, maintainable, and reusable solutions aligned with architectural principles.
Benefits
- Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
