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Data Engineering Team Lead
Location
United States
Posted
95 days ago
Salary
$80K - $90K / year
Seniority
Senior
Job Description
Data Engineering Team Lead
UMS
• 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.
Job 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.
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
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