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Data Modeling Jobs in Ohio (NOW HIRING)

USM

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

At least 4+ years of experience in data modeling (conceptual, logical and physical) required * Experience with SQL Server 2014 * Experience in data warehouse development preferred * Healthcare ...

USM

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

... data modeling (conceptual, logical and physical) required Experience with SQL Server 2014 Experience in data warehouse development preferred Healthcare experience preferred Desired Experience: 4+ ...

USM

Urgent Need Data Modeler

Dayton, OH

$53.25 - $69/hr

... data modeling (conceptual, logical and physical) required Experience with SQL Server 2014 Experience in data warehouse development preferred Healthcare experience preferred Desired Experience: 4+ ...

USM

Data Modeler -----Need GC and USC

Dayton, OH

$53.25 - $69/hr

... data modeling (conceptual, logical and physical) required Experience with SQL Server 2014 Experience in data warehouse development preferred Healthcare experience preferred Desired Experience: 4+ ...

USM

LEAD Data Modeler

Columbus, OH

$53 - $68.50/hr

Columbus OH Duration: 12-18 Months Top Three Skills: 1. Data profiling 2. Source to target Mappings 3. Data Modeling- Logical, Physical, Conceptual 4. Data visualization 5. SQL experience is also ...

USM

Urgent Need DATA Modeler with Healthcare Exp

Mason, OH

$51.50 - $66.75/hr

Data Modeling, SQL, Oracle, ETL We are in search of a Data Modeler with at least 5 years of experience. Desired Experience : 4+ years of experience in data modeling (conceptual, logical and physical ...

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How much do data modeling jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data modeling in Ohio is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $64.90 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
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Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $116,102 per year, or $55.8 per hour.
Manager, Data Modeling & Governance

Manager, Data Modeling & Governance

The J.M. Smucker Company

Orrville, OH • On-site

Full-time

Posted 14 days ago

J.M. Smucker rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

59th of 388 rated food and drinks producers

Job description

Your Opportunity as the Manager, Data Modeling & Governance
The Manager, Data Modeling & Governance is responsible for leading a team of data architects and governance professionals while establishing enterprise standards for how data is defined, structured, and governed. This role ensures that data is trusted, consistently defined, and aligned to support scalable analytics and reporting across the organization. This role defines and enforces standards for dimensional modeling using star schema principles, including fact and dimension design, conformed metrics, and semantic consistency across domains. It ensures that analytics data models are reusable, performant, and aligned to business needs, while supporting a unified semantic layer that enables reliable reporting and analytics, including Tableau. In addition, this role owns the enterprise data governance framework, including metadata, lineage, data ownership, and classification. Governance practices are designed to be embedded into daily workflows, ensuring data is discoverable, accountable, and usable. This role defines what data means and how it is structured, complementing data engineering and platform engineering capabilities across the enterprise data platform.
Location: Orrville, OH (Close proximity to Cleveland/Akron)
Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires
In this role you will:
  • Team Leadership & Talent Development
    • Lead, coach, and develop a team of Data Architects and Data Governance professionals
    • Set clear priorities, performance expectations, and deliverables
    • Establish consistent modeling and governance practices across domains
    • Build team capabilities in dimensional modeling, governance execution, and business alignment
    • Create and maintain scalable documentation, standards, and training materials

  • Data Modeling Standards
    • Define and enforce enterprise standards for dimensional modeling using star schema principles
    • Establish consistent design patterns for fact tables, dimension tables, conformed dimensions, and metric definitions
    • Ensure models are optimized for analytics, reporting, and usability, including Tableau
    • Promote reusable, domain-aligned models that reduce redundancy and duplication

  • Semantic Consistency & Business Alignment
    • Define and maintain consistent business definitions across the enterprise
    • Establish a unified semantic layer supporting Tableau and certified data sources
    • Resolve discrepancies in metric definitions and data interpretation
    • Ensure alignment between source data, engineered data layers, and published analytics assets

  • Data Governance Strategy & Execution
    • Own and evolve the enterprise data governance operating model
    • Establish standards for data classification, sensitivity, retention, and lifecycle management
    • Define requirements for metadata completeness, ownership, and stewardship
    • Track governance adoption, maturity, and compliance across domains

  • Metadata, Lineage & Data Catalog
    • Own metadata strategy and governance tooling, including platforms such as Atlan and Unity Catalog
    • Drive completeness and accuracy of business definitions, lineage, and ownership
    • Improve discoverability and usability of enterprise data assets
    • Increase adoption of catalog and governance workflows

  • Governance Integration with Delivery
    • Define how governance and modeling standards are embedded into data engineering workflows
    • Establish standards for certified datasets and trusted data sources
    • Define promotion patterns from raw to curated to published data layers
    • Ensure governance supports efficient delivery and consumption of analytics

What we are looking for:
Minimum Requirements:
  • Bachelor's Degree or equivalent experience
  • 10+ years of experience in data modeling, governance, or data architecture
  • 3+ years of experience managing and developing technical teams
  • Proven experience implementing enterprise data governance programs
  • Strong experience defining and enforcing data modeling standards at scale
  • Experience supporting enterprise analytics and reporting environments
  • Deep expertise in dimensional modeling using star schema for analytics and reporting
  • Strong experience in data governance frameworks and execution
  • Experience with metadata management, lineage, and data catalogs such as Atlan
  • Strong understanding of analytics ecosystems, including Tableau
  • Experience aligning data models with business definitions and reporting requirements

Additional skills and experience that we think would make someone successful in this role (not required):
  • Lakehouse and layered data architectures
  • Data quality frameworks and validation practices
  • Data access controls and governance implementation approaches
  • Modern data platform concepts and workflows

The Right Place for You
We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.
Stay connected with us on LinkedIn®
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

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