Information Technology Spec 4 - Data Modeler
Minnesota State Colleges and UniversitiesAbout the role
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
Working Title:
Information Technology Spec 4 - Data ModelerInstitution:
Minnesota State System OfficeClassification Title:
Bargaining Unit / Union:
214: Minnesota Association of Professional EmployeesCity:
St. PaulFLSA:
Non Job ExemptFull Time / Part Time:
Full timeEmployment Condition:
Classified - UnlimitedSalary Range:
$37.72 - $62.21Job Description
The Data Modeler, Metadata Specialist (ITS 4) provides advanced, enterprise-level expertise in data modeling and metadata management to support trusted reporting, analytics, and modern data architecture across Minnesota State Colleges and Universities. This position designs and maintains conceptual, logical, and physical data models; establishes and curates the business and technical metadata; and supports data lineage and standards that enable secure, reusable, and high-quality data products. The role partners with functional and technical stakeholders to ensure that data is understandable, well governed, and fit for self-service analytics, operational reporting, and AI-driven use cases.
Salary Range:
$37.72 - $62.21/hourly ($78,759 - $129,894/annually)
Minimum Qualifications
Five (5) years of professional experience in enterprise data modeling and metadata practices supporting analytics solutions, using tools such as SQL Developer Data Modeler, Microsoft Fabric (OneLake), Azure Data Factory/Fabric Data Pipelines, Dataflows Gen2, and/or comparable ETL/ELT and modeling tools (e.g., CData, GoldenGate, or similar). A Bachelor’s degree in a related field may substitute for one (1) year of experience.
Advanced SQL proficiency (e.g., T-SQL, PL/SQL) with experience validating data structures and transformations to support reliable reporting and analytics.
Experience developing and maintaining business and technical metadata, including definitions, stewardship, classifications, and lineage, using tools such as Microsoft Purview, Data Cookbook, and/or equivalent data catalog/governance platforms.
Demonstrated ability to collaborate effectively on large, complex, cross-functional data initiatives, including work in distributed/federated environments.
Demonstrated ability to deliver modeling/metadata work products with strong organization, documentation, and stakeholder communication, including clear status reporting.
Preferred Qualification
Experience supporting enterprise or large-scale application systems.
Experience giving formal presentations to business audiences.
Experience assessing skill gaps, individual competency, and job
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