Top 1 Senior data modeler Jobs in Dayton, Oh

Data Modeler or Senior Data Modeler
University of Dayton —Dayton, OH
- Full-time
- Salesforce
- High school diploma or GED
- SQL

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Data Modeler or Senior Data Modeler
University of Dayton —Dayton, OH
At least five years professional experience in a data management related field. At least two years professional experience in a data management related field.

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Data Modeler or Senior Data Modeler

University of Dayton -
Dayton, OH

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Job Details

Full-time

Qualifications

Data model design
Performance tuning
Data Integration (Data management)
Requirements design
Schema design
High school diploma or GED
SQL
Technical solutions implementation
Data Architecture Design (Architecture design skills)
Improving database performance
Analysis (software development lifecycle)
Business requirements
System tuning
Cross-functional communication
Dimensional modeling

Full Job Description

Job No: 503647
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: University Staff
Department: Entpr Data Mgmt & Dec Sppt - 804420
Pay Grade: B - Exempt
Advertised: June 22, 2026
Applications close:

Position Summary:

The Data Modeler plays a critical role in the development and implementation of a data management strategy that supports the organization's strategic goals and operational needs. This individual will be responsible for ensuring data integrity, creating physical data models, and optimizing data storage and retrieval processes.

In addition to the responsibilities of the Data Modeler position, the Senior Data Modeler role takes on greater responsibilities for shaping data management. This includes working with cross-functional teams to gather business requirements and translate them into efficient and scalable data architectures; designing conceptual and logical data models; and informing, defining, and documenting data governance standards.

Minimum Qualifications:

Minimum requirements for the Data Modeler

High school diploma or equivalent.
At least two years professional experience in a data management related field.
At least two years experience writing SQL.
Relational and dimensional data modeling, database design, and performance tuning skills.
Demonstrated communication skills and the ability to work collaboratively in a dynamic environment.
Ability to work well under pressure and meet deadlines.

A Senior Data Modeler must meet all Data Modeler minimum qualifications in addition to the qualifications listed below.

At least five years professional experience in a data management related field.
At least five years experience writing SQL.
Understanding of source and target data structures, ETL processes, and products.
Experience with systems analysis functions with emphasis on translating business needs into technical solutions.

Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

An understanding of data governance princiiples and standards, e.g. Educause's HERM.
Working knowledge of data warehousing design principles.
Experience working with data in the Higher Education industry.
Experience working with Ellucian Banner, Salesforce, and/or Canvas data.
Experience working with a CI/CD environment and tools, particularly Git.
Ability to work with users at all levels of the organization.

Special Instructions to Applicants:

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

Applicants must be currently authorized to work in the United States on a full-time basis. The University does not provide work visa sponsorship for this position.

Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.

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