Data Modeler (CEMI)
About The Position
The Data Modeler (CEMI) serves as a senior individual contributor responsible for the design, development, and maintenance of enterprise data models and analytics solutions supporting institutional reporting and decision-making. This position leads the design of dimensional data models, data warehouses, and data marts, translating complex business requirements into scalable, high-performance data structures. This position will analyze source data structures and business processes from which they will build fact and dimension tables in a database. This role requires ability to work with SQL and to understand database fundamentals. This role will also be involved with the testing and validation of both data and models. The role works collaboratively with business stakeholders, data architects, developers, and analysts to define requirements, design solutions, and ensure data quality and usability across reporting platforms. The Data Modeler functions as a technical authority and subject matter expert, guiding data design standards, mentoring peers, and ensuring solutions align with enterprise architecture and performance expectations. Work is highly complex, involving multiple systems (e.g., ERP, data lake environments) and requires advanced analytical, technical, and problem-solving capabilities. This is a two (2) year term appointment which may be ended or extended based on organizational needs, funding availability, and performance. While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field and 5–7 years of relevant experience, or equivalent combination of education and experience.
- Demonstrated expertise in dimensional data modeling (fact/dimension design).
- Demonstrated expertise in data warehousing, data marts, and data architecture.
- Demonstrated expertise in SQL development, query optimization, and data profiling.
- Demonstrated expertise in source-to-target mapping and ETL processes.
- Experience translating business requirements into technical data solutions and models.
- Strong understanding of data structures, relationships, and database design principles (PK/FK, schemas).
- Experience working across complex, multi-system environments (ERP, analytics platforms, etc.).
- Ability to lead design sessions, facilitate requirements gathering, and guide technical solutions.
- Demonstrated ability to analyze and solve complex problems and develop scalable and efficient data solutions.
- Ability to communicate technical concepts to non-technical stakeholders.
- Experience mentoring or providing technical guidance to peers.
- Ability to manage multiple priorities in a fast-paced, evolving environment.
- Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.
Nice To Haves
- Experience with BI and analytics tools (e.g., Power BI, Tableau, OBIEE).
- Experience with ERP systems (e.g., Workday, PeopleSoft, SAP, Oracle).
- Experience in higher education or similarly complex organizational environments.
- Familiarity with data lake architectures and modern analytics ecosystems.
- Experience developing data modeling standards and documentation.
Responsibilities
- Design, development, and maintenance of enterprise data models and analytics solutions supporting institutional reporting and decision-making.
- Lead the design of dimensional data models, data warehouses, and data marts, translating complex business requirements into scalable, high-performance data structures.
- Analyze source data structures and business processes to build fact and dimension tables in a database.
- Test and validate both data and models.
- Collaborate with business stakeholders, data architects, developers, and analysts to define requirements, design solutions, and ensure data quality and usability across reporting platforms.
- Function as a technical authority and subject matter expert, guiding data design standards, mentoring peers, and ensuring solutions align with enterprise architecture and performance expectations.
- Foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.
Benefits
- Comprehensive health care options
- Generous retirement contributions
- Access to wellness programs
- Employee discounts with local and national retail brands
- Health and personal leave
- Three weeks of vacation
- 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1.
- Two additional floating holidays
- Tuition-free Extramural Study and Employee Degree Program
- Tuition aid for external education
- Cornell Children's Tuition Assistance Program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
