1

Data Architecture Jobs in Ohio (NOW HIRING)

Data Architect

Cleveland, OH · On-site

$61.75 - $79.50/hr

You will help define the architecture strategy that connects SAP, Veeva, cloud platforms, integration technologies, master data solutions, operational data stores, and analytics environments into a ...

Data Architect

Columbus, OH · On-site

$59.50 - $76.50/hr

Key Responsibilities Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. Define data flows and integration patterns between systems, including cloud-native ...

Data Architect

Columbus, OH · On-site

$59.50 - $76.50/hr

Engagement Type Contract Key Responsibilities Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between ...

Data Architect

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Key Responsibilities Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native ...

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Engagement Type Contract Key Responsibilities Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between ...

Senior Data Architect

Columbus, OH · On-site

$62.75 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure the architecture supports current and future business needs with an emphasis on data quality, consistency, and governance. Oracle EBS & Cloud Integration: Lead the future integration of PM2PA ...

Senior Data Architect

Columbus, OH · On-site

$65 - $86.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure the architecture supports current and future business needs with an emphasis on data quality, consistency, and governance. Oracle EBS & Cloud Integration: Lead the future integration of PM2PA ...

Senior Data Architect

Columbus, OH · On-site

$65 - $87/hr

Responsibilities : • Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks that ...

next page

Showing results 1-20

Data Architecture information

See Ohio salary details

$10

$66

$89

How much do data architecture jobs pay per hour?

As of Aug 17, 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.

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 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:

Infographic showing various Data Architecture job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,380 per year, or $66.5 per hour.

Director, Enterprise Data Architecture & Readiness

Phillipsedison

Cincinnati, OH

Full-time

Posted 20 days ago


Job description

The Director, Enterprise Data Architecture & Readiness will lead the enterprise data foundation that supports trusted analytics, responsible AI, automation, and faster business decision-making. This role will set the strategy, standards, and operating model needed to make company data more connected, governed, accessible, and decision ready.

Strategic Focus:

The Director will lead PECO's data architecture and readiness agenda by:

  • Defining the enterprise data architecture vision, roadmap, and standards

  • Improving data quality, ownership, lineage, integration, and usability

  • Partnering with business and technology leaders to align data work to enterprise priorities

  • Scaling governance and data products that accelerate value while reducing risk and rework

Key Responsibilities:

Enterprise Data Architecture

  • Define and maintain enterprise data architecture standards, patterns, and reference models.

  • Guide data model, master data, metadata, lineage, integration, and platform decisions.

  • Ensure architecture supports analytics, AI, automation, security, and scalability.

Data Readiness & Stewardship

  • Build a practical data readiness roadmap tied to business priorities and decision needs.

  • Clarify data ownership, definitions, quality expectations, and stewardship routines.

  • Establish repeatable readiness measures for accuracy, completeness, timeliness, lineage, access, and control.

  • Use metrics and issue trends to communicate progress, risks, and decisions to senior leaders.

Governance, Risk & Compliance

  • Partner with Legal, Compliance, Security, IT, and business leaders to ensure data practices are secure, compliant, and auditable.

  • Embed privacy, access, retention, classification, and control requirements into data design.

  • Promote responsible data and AI practices that are transparent, controlled, and fit for purpose.

Cross-Functional Leadership

  • Serve as the senior data partner to business, IT, analytics, legal, compliance, security, and risk leaders.

  • Establish roles, decision rights, governance forums, intake processes, and prioritization practices.

  • Translate technical complexity into clear business choices and executive-ready recommendations.

  • Lead change efforts that build data literacy, accountability, and adoption across the organization.

Experience:

  • 10+ years of progressive experience in data architecture, enterprise data management, governance, analytics, or related disciplines.

  • Demonstrated success defining data architecture roadmaps, standards, operating models, and governance practices.

  • Experience with modern data platforms, cloud or hybrid architectures, integration, master data, metadata, lineage, and data quality.

  • Experience enabling AI, automation, advanced analytics, or decision intelligence capabilities preferred.

Leadership Capabilities

  • Enterprise leadership mindset with the ability to move from strategy to execution.

  • Ability to influence senior leaders across business, technology, legal, compliance, and risk.

  • Strong communication skills, executive presence, and comfort operating through ambiguity.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities


This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.