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Data Architecture Jobs in Ohio (NOW HIRING)

The Air Force Civilian Service

Data Architect

Dayton, OH · On-site

$62 - $79.75/hr

Supports and influences CROWS Data Architecture, Cyberspace, and Knowledge Management programs; develops and drives the enterprise data strategy; makes authoritative recommendations on data modeling ...

Stryker Corporation

Enterprise Data Architect

Columbus, OH · On-site

$125 - $150/hr

Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders * Creates short ...

Brooksource

Data Warehouse Architect

Dublin, OH · On-site

$62 - $67/hr

The ideal candidate brings deep expertise in cloud data platforms, architecture best practices, and data modernization initiatives, with healthcare industry experience strongly preferred. You will ...

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All JobsData Architecture JobsData Architecture Jobs in Ohio

Data Architecture information

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$10

$66

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How much do data architecture jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data architecture in Ohio is $66.53, according to ZipRecruiter salary data. Most workers in this role earn between $58.27 and $74.95 per hour, depending on experience, location, and employer.

What is data architecture?

Data architecture refers to the design and structure of an organization's data systems and resources. It involves defining how data is collected, stored, managed, and used across different platforms and applications. Data architects create blueprints that ensure data is organized, secure, and accessible, supporting both current and future business needs. Effective data architecture helps organizations optimize data flow, maintain data quality, and comply with regulations.

What are the key skills and qualifications needed to thrive as a data architect?

To thrive as a Data Architect, you need a solid background in database management, data modeling, and systems design, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, NoSQL databases, ETL platforms, and certifications such as AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills enable a Data Architect to translate business needs into robust data solutions. These competencies are critical for designing scalable, secure, and efficient data infrastructures that drive organizational decision-making and growth.

What are some common challenges faced by data architects when integrating data from multiple sources?

Data Architects often encounter challenges such as data inconsistency, varying data formats, and differing data quality standards when integrating information from multiple sources. Ensuring seamless data flow while maintaining data integrity and security can require extensive data mapping, transformation, and validation processes. Collaborating closely with data engineers, business analysts, and IT teams is essential to identify requirements and resolve integration issues. Successfully addressing these challenges results in a unified, reliable data environment that supports organizational analytics and decision-making.

What is the difference between Data Architecture vs Data Engineer?

AspectData ArchitectureData Engineer
Primary FocusDesigning data systems and structuresBuilding and maintaining data pipelines
Skills & CertificationsData modeling, database design, certifications like TOGAFProgramming, ETL tools, cloud platforms
Work EnvironmentStrategic planning, architecture design teamsDevelopment teams, data pipeline implementation
Industry UsageData strategy, enterprise data managementData processing, analytics infrastructure

Data Architects focus on designing the overall data systems and structures, ensuring data is organized and accessible. Data Engineers implement these designs by building data pipelines and infrastructure. Both roles collaborate closely but differ in their core responsibilities and skill sets.

Are data architects in demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data effectively. They design and implement data systems, often requiring skills in database management, cloud platforms, and data modeling, making their expertise valuable across many industries.

How much does a data architect get paid?

Data architects typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

What does a data architect do?

A data architect designs and manages an organization’s data infrastructure, including data models, storage, and integration systems. They develop strategies for data flow, ensure data quality, and often work with tools like SQL and cloud platforms to support business analytics and decision-making.

What are the most commonly searched types of Data Architecture jobs in Ohio?

The most popular types of Data Architecture jobs in Ohio are:

What are popular job titles related to Data Architecture jobs in Ohio?

For Data Architecture jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Architecture jobs in Ohio look for?

The top searched job categories for Data Architecture jobs in Ohio are:

What cities in Ohio are hiring for Data Architecture jobs?

Cities in Ohio with the most Data Architecture job openings:

Data Architecture jobs near you
Infographic showing various Data Architecture job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,380 per year, or $66.5 per hour.

Data and Solution Architect

American Honda Motor Co., Inc.

Marysville, OH • On-site

$50.58 - $63.22/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

American Honda Motor rating

7.2

Company rating: 7.2 out of 10

Based on 449 frontline employees who took The Breakroom Quiz

23rd of 45 rated automakers

Job description

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

The Data and Solution Architect is responsible for defining, governing, and advancing the enterprise data architecture required to enable scalable, trusted, and responsible AI solutions in the AI Hub. This role ensures that data platforms, models, standards, and semantic structures are designed to support AI/ML, Generative AI, Agentic AI, experimentation (POCs), and production deployment, while aligning with enterprise data governance, security, and compliance requirements.

Key Accountabilities

AI‑Ready Data Architecture & Design

  • Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases
  • Define AI‑ready data models, feature‑oriented structures, and analytics‑ready data assets aligned to enterprise data platforms
  • Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines
  • Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases


Data Standards, Governance & Semantics

  • Work closely with Data Architecture and Governance teams, define and enforce data standards, metadata practices, naming conventions, and master/reference data patterns for AI use cases
  • Establish and maintain semantic consistency (business definitions, critical data elements, feature definitions) to enable explainable and reusable AI
  • Partner with Data Governance, Legal, and Compliance teams to ensure responsible and compliant AI data usage


AI Use Case Enablement & POC Support

  • Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms
  • Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers
  • Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage


Data Platform, Integration and Solution Architecture

  • Architect integrations across source systems, data platforms, analytics tools, and AI services
  • Evaluate and onboard new data sources and technologies to meet evolving AI requirements
  • Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments
  • Lead/support solution architecture development for projects/products, where necessary

Collaboration, Review & Enablement

  • Serve as a data and solution architecture authority for AI‑related initiatives and design reviews
  • Mentor junior architects, data engineers and provide architectural guidance to delivery teams
  • Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums
Qualifications, Experience, and Skills
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering/ Data Science, or related field
  • 8+ years of experience in data architecture, solution architecture, enterprise data platforms, or analytics architecture
  • Demonstrated experience supporting AI/ML, advanced analytics, or data‑driven product initiatives
  • Experience operating in federated governance or hub‑and‑spoke operating models
  • Experience with data profiling and data quality management
Workstyle
  • This is an onsite job. One remote workday per week, may be possible with prior departmental approval.
Visa sponsorship issues
  • This position is not eligible for work visa sponsorship

What differentiates Honda and makes us an employer of choice?

Total Rewards: 

  • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
  • Regional Bonus (when applicable)
  • Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
  • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
  • Paid time off, including vacation, holidays, shutdown
  • Company Paid Short-Term and Long-Term Disability 
  • 401K Plan with company match + additional contribution
  • Relocation assistance (if eligible)

Career Growth:

  • Advancement Opportunities
  • Career Mobility
  • Education Reimbursement for Continued learning
  • Training and Development Programs 

Additional Offerings:

  • Lifestyle Account
  • Childcare Reimbursement Account
  • Elder Care Support
  • Tuition Assistance & Student Loan Repayment
  • Wellbeing Program
  • Community Service and Engagement Programs
  • Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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