Job Information
University of Maine System Data Engineering Team Lead in United States
The University of Maine System is seeking a Data Engineering Team Lead to provide technical and operational leadership for enterprise data engineering, analytics, and data governance services within our Data Systems and Integration Team. This role leads a multidisciplinary team of Data Engineers, Business Intelligence Analysts, and data governance professionals. The Team Lead is accountable for the reliability, quality, and performance of enterprise data pipelines, analytical platforms, and governance workflows that support institutional reporting, decision-making, and compliance. Reporting to the Executive Director of Web and Data Services, this position partners closely with enterprise architecture, information security, privacy, records management, ERP services, campus IT, and administrative leaders to ensure scalable, secure, and standards-aligned data solutions across the University System.
The Data Systems and Integration Team (DSIT) is a part of the University of Maine System's Information Technology Enterprise Services department. The DSIT team supports enterprise data services that enable reporting, analytics, data governance, and secure data movement across core university systems. The group works in close partnership with campus stakeholders, enterprise application teams, and information security to deliver reliable, well-governed data services that support institutional operations and decision-making.
What You'll Do
Lead and manage daily and long-term operations of the Data Engineering team.
Oversee enterprise data pipelines, ETL/ELT processes, analytical platforms, and governance workflows.
Ensure adherence to enterprise data architecture, integration standards, governance practices, and security requirements.
Prioritize work across competing institutional demands while balancing service reliability and operational risk.
Guide the development of scalable data models, semantic layers, and metadata documents.
Coordinate incident response, data quality remediation, and continuous improvement initiatives.
Mentor staff in professional development, engineering best practices, and service delivery excellence.
Collaborate across IT and institutional leadership to support enterprise data initiatives.
Please review the full job description (https://docs.google.com/document/d/1_ZbQyX4EDQgMSZwdtS78CLPjBUA4162Z/edit?usp=sharing&ouid=107650141627790805903&rtpof=true&sd=true) to learn more.
Schedule: The standard work hours are Monday through Friday, 8:00 AM to 5:00 PM. Occasional evening and weekend work may be required.
Salary: The hiring range for this position is $80,000 to $90,000 (non-negotiable) and is commensurate with training, education, and experience.
Benefits: The University of Maine System offers a highly competitive benefits package that includes (but is not limited to):
13 paid holidays plus earned vacation and sick time
Health, Dental, and Vision insurance
Short-term disability insurance and employer-paid long-term disability insurance
Employer-paid basic life insurance and supplemental life insurance
Tuition waiver program for employees and their dependents (spouse, domestic partner, and dependent children)
403(b) retirement plan with employer contribution
To learn more, please review the Benefits Information Summary (https://docs.google.com/document/d/1bmgYPcZUORRvsgZDvlIZvXIQikqiGu7q/edit?usp=sharing&ouid=110440131131110993671&rtpof=true&sd=true) .
Qualifications
Required:
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field AND seven (7) years of relevant experience supporting or managing enterprise data engineering, analytics platforms, or data services in a complex organizational environment.
OR a master's degree in a related field AND five (5) years of relevant professional experience supporting or managing enterprise data engineering, analytics platforms, or data services in a complex organizational environment.
Experience supervising technical staff or serving in a formal Lead Engineering capacity with responsibility for project delivery and mentorship.
Experience evaluating and overseeing the development and operation of data pipelines and ETL/ELT processes.
Experience overseeing cloud-based data environments, including evaluating performance, reliability, and cost trends.
Ability to communicate effectively with technical and non-technical stakeholders, translating complex data concepts into actionable insights.
Strong project management skills with the ability to manage multiple priorities, meet deadlines, and adapt to changing requirements.
Strong analytical and problem-solving abilities with sound professional judgment.
Ability to document technical process and maintain transparency in development practices.
Demonstrated commitment to high-quality customer service
Strong understanding of relational databases, data modeling practices, data transformation concepts, and fundamentals of data warehousing.
Familiarity with structured and unstructured data, APIs, and modern data architecture concepts.
Ability to evaluate complex SQL-based data transformations for quality, performance, and accuracy.
Ability to learn new technologies quickly and apply them effectively.
Ability to work independently and within a team, managing priorities in a dynamic environment.
Excellent attention to detail and commitment to high-quality work.
Preferred
Experience with modern data pipelines or orchestration technologies (e.g., Airflow, cloud-native schedules, containerized workflows).
Experience with enterprise integration platforms (e.g., Boomi or similar tool).
Experience with event-streaming or messaging platforms (e.g., Kafka or similar technologies).
Experience supporting BI tools and analytical semantic modeling, preferably Power BI.
Experience with cloud data storage, object stores, or hybrid data architecture.
Experience with Agile development practices, CI/CD pipelines, and automation.
Experience in environments involving PeopleSoft ERP or similar administrative platforms.
Experience leading a modernization of legacy data systems to cloud-native platforms.
Experience managing agile development teams.
Experience enforcing data standards, data governance practices, or security requirements within operational teams.
How to Apply:
Materials must be submitted via “Apply Now” below. You will need to complete an application and upload the following:
A cover letter that describes your experience, interests, and suitability for the position.
A resume/curriculum vitae.
Important items to know about the recruitment process:
Review of applications will begin immediately. The position will remain open until a qualified candidate is hired.
Incomplete application materials cannot be considered.
Candidates selected to proceed to the final stages of the search process will be requested to provide three (3) names and contact information for references.
The successful applicant is subject to appropriate background screenings.
Applicants must be authorized to work in and reside in the United States. Please Note: We are not able to consider applicants who require Visa sponsorship now or in the future.
EEO Statement
The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling 207.581.1226, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at www.maine.edu/title-ix/.
About the University of Maine System
The University of Maine System (UMS), established in 1968, consists of seven universities and the University of Maine School of Law, spread across various locations in Maine. UMS provides system-wide services and governance from these locations, leveraging the distinct strengths and collaborations among its institutions to advance strategic priorities for UMS (https://www.maine.edu/strategic-plan/) and the state of Maine.
Choosing UMS means opting for a high quality of life supported by excellent benefits such as tuition waivers, robust retirement contributions, and comprehensive insurance coverage including medical, dental, vision, life, and disability. Maine's diverse landscapes, from accessible wilderness and rugged coastline to urban centers and rural communities, offer numerous cultural activities, strong public schools, safe neighborhoods, and high-quality healthcare. Discover more about Maine's exemplary lifestyle on the Maine Office of Tourism website (https://visitmaine.com/plan-your-visit/relocating-to-maine) .