Senior Data Architect: Cloud Migration & Data Warehouse

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Michigan Medicine seeks a dynamic Senior Technical Lead to guide a team of Data Engineers during the enterprise data warehouse migration from on-premises to cloud. You will collaborate with DOCTR, MPOG, and HITS to shape the data strategy and enable advanced analytics across research domains.

The role requires mentoring experience, strong database knowledge (SQL/NoSQL), and the ability to drive architecture and governance across multiple systems, ensuring scalable, secure data solutions for

Qualifications

• Bachelor's degree in Computer Science or related field with ~10 years of programming experience.
• Experience with relational databases: SQL, Oracle, PostgreSQL, MySQL.
• Experience with non-relational databases like MongoDB desirable.
• Experience leading teams or mentoring direct reports.

Responsibilities

• Serve as strategic technical lead for the medical school's research data infrastructure.
• Collaborate with DOCTR, MPOG, and HITS to align initiatives across units.
• Lead development of enterprise data solutions supporting research growth and innovation.
• Direct architecture, design, and software development efforts requiring advanced expertise.
• Provide leadership for hosting environments, including security and performance optimization.
• Guide data initiatives involving large-scale data management and analytics.
• Identify opportunities to improve scalability, reliability, and efficiency of research data systems.

Skills

C/C++/Java

Relational DBs

Mentoring

Communication

Education

Bachelor's degree in CS or related field

Master's degree preferred

Tools

Oracle

MySQL

PostgreSQL

MongoDB

Job description

Michigan Medicine seeks a dynamic Senior Technical Lead to guide a team of Data Engineers during the enterprise data warehouse migration from on-premises to cloud. You will collaborate with DOCTR, MPOG, and HITS to shape the data strategy and enable advanced analytics across research domains.

The role requires mentoring experience, strong database knowledge (SQL/NoSQL), and the ability to drive architecture and governance across multiple systems, ensuring scalable, secure data solutions for