Key skills
CloudETLSQLELTData EngineeringData WarehousingAnalyticsLeadershipProject Management
About this role
Role Overview
- 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.
Requirements
- 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.
Tech Stack
- Cloud
- ETL
- SQL
Benefits
- 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