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Enterprise Data Architect Jobs (NOW HIRING)

WI · On-site

$130 - $190/hr

Enterprise Data Architect## **Department:**ETS Analytics and AI Data## ** **## ***This position may be performed remotely from the following locations within the United States of America: Arkansas ...

Enterprise Data Architect Department: ETS Analytics and AI Data This position may be performed remotely from the following locations within the United States of America: Arkansas, Kansas, Missouri ...

Description SAIC is seeking an Enterprise Data Architect to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC's Prime Program, Landmark AOS. Landmark AOS is a ...

Enterprise Data Architect

Chantilly, VA · On-site

$160K - $200K/yr

As the Enterprise Data Architect , you will provide specialized engineering expertise supporting the acquisition of multi-intelligence (multi-INT) cloud-based data framework services across multiple ...

Lead enterprise data platform strategy, architecture, and end-to-end delivery. * Manage cross-functional teams across data engineering, analytics, governance, and cloud technologies. * Design and ...

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Enterprise Data Architect information

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$25

$71

$91

How much do enterprise data architect jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for enterprise data architect in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

How does an enterprise data architect typically collaborate with other departments to implement data governance strategies?

Enterprise Data Architects work closely with stakeholders across departments such as IT, compliance, business analytics, and operations to establish and enforce data governance policies. They facilitate workshops and meetings to understand each department's data needs and challenges, ensuring that data standards are aligned with organizational goals. Regular collaboration is necessary to design data models, oversee data quality initiatives, and ensure consistent data definitions, which helps prevent data silos and promotes effective data utilization throughout the enterprise.

What is the difference between Enterprise Data Architect vs Data Engineer?

AspectEnterprise Data ArchitectData Engineer
CredentialsTypically requires a bachelor’s or master’s in computer science, information systems, or related fields; certifications like TOGAF or CDMP are common.Requires similar degrees; certifications like AWS or Google Cloud certifications are often preferred.
Work EnvironmentFocuses on designing data frameworks, enterprise-wide data strategies, and governance policies.Builds, maintains, and optimizes data pipelines and infrastructure.
Industry UsageUsed across industries for enterprise data management and architecture planning.Commonly employed in data pipeline development, big data projects, and cloud data solutions.

While both roles require strong data management skills and related certifications, the Enterprise Data Architect primarily designs overall data strategies and architecture, whereas the Data Engineer focuses on implementing and maintaining data pipelines and infrastructure.

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

To thrive as an Enterprise Data Architect, you need deep expertise in data modeling, database design, and enterprise architecture frameworks, often supported by a degree in computer science or a related field. Familiarity with data integration tools, cloud platforms (such as AWS or Azure), and certifications like TOGAF or CDMP is typically required. Strong analytical thinking, leadership, and effective communication skills help drive cross-functional collaboration and align data strategies with business goals. These skills ensure the creation of scalable, secure, and efficient data systems that support organizational success.

What is an enterprise data architect?

An Enterprise Data Architect is a technology professional responsible for designing, managing, and maintaining an organization's overall data architecture. They develop strategies for data integration, storage, and management to ensure that information flows efficiently and securely across different business systems. Their duties often include working with stakeholders to define data standards, selecting appropriate technologies, and governing data to support business goals and regulatory compliance. Ultimately, they play a critical role in ensuring that an organization’s data assets are structured and utilized effectively.
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Infographic showing various Enterprise Data Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Enterprise Data Architect

OU Medicine

WI • On-site

$130 - $190/hr

Other

Posted 9 days ago


Job description

## Enterprise Data ArchitectApplylocations: Virtualtime type: Full timeposted on: Posted Todayjob requisition id: R0063293## **Position Title:**Enterprise Data Architect## **Department:**ETS Analytics and AI Data## **Job Description:**## ***This position may be performed remotely from the following locations within the United States of America: Arkansas, Kansas, Missouri, Oklahoma, and Texas.***## ## ***Please only apply if you live and work full-time in one of the states listed above or plan to relocate to one of these states before starting your employment with OU Health. State locations and specifics are subject to change as our hiring requirements shift.*****Preferred Experience:**## *Candidates with hands‐on enterprise data platform implementation experience are strongly preferred, as this role will play a critical role in designing and building a new companywide data solution from the ground up.*The Data Architect III leads design, implementation, and maintenance of OU Health’s Enterprise Data Platform and Information Architecture Framework. This role builds architecture, processes, and governance protocols to secure and manage data across its full life cycle, ensuring compliance and adaptability in an ever‐changing healthcare and technology environment. This role collaborates with clinical, research, and administrative leaders, vendors, and partners to deliver a scalable, secure, and future‐ready analytics platform that meets diverse data needs.**Essential Responsibilities:***Responsibilities listed in this section are core to the position. Inability to perform these responsibilities, with or without an accommodation, may result in disqualification from the position.** Develop and implement scalable, secure, and interoperable data systems (including data warehouses, data lakes, and real-time processing platforms) tailored for OU Health’s enterprise data analytics platform.* Define and maintain conceptual, logical, and physical data models to standardize data across clinical, research, and operational systems. Ensure models support healthcare-specific requirements (clinical, claims, provider, member, etc.).* Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow between OU Health and other entities as needed.* Work closely with clinical, research, and administrative stakeholders to gather requirements and deliver data solutions that meet departmental needs. Facilitate effective communication and collaboration among all parties.* Monitor and optimize database performance, troubleshoot issues, and integrate new technologies to support evolving healthcare analytics needs.* Implement robust security and backup procedures to protect sensitive patient information and ensure compliance with privacy laws.* Prepare and maintain system documentation, data dictionaries, and architecture blueprints. Provide training and guidance to team members on data management best practices.* Identify opportunities to enhance data infrastructure, support innovation, and enable advanced analytics for improved patient outcomes and operational efficiency.* Work closely with clinical staff, IT professionals, data analysts, and researchers to understand data requirements, workflows, and pain points. Facilitate regular meetings and workshops to gather input and align data solutions with clinical and operational needs.* Act as a liaison between technical teams and non-technical stakeholders, translating complex data concepts into actionable insights. Ensure that data architecture decisions reflect the priorities of clinicians, administrators, and compliance officers.* Promote a culture of knowledge sharing by documenting data models, standards, and best practices. Provide training and mentorship to team members on data management, security, and governance.* Lead collaborative efforts to troubleshoot data issues, optimize workflows, and implement new technologies. Encourage open communication and feedback to continuously improve data systems and processes.* Participate in project planning and execution, ensuring that data architecture aligns with project goals, timelines, and resource constraints. Coordinate with project managers and other architects to deliver integrated solutions.**General Responsibilities:*** Performs other duties as assigned.**Minimum Qualifications:****Education:** Bachelor's Degree in Computer Science, Information Systems, Health Informatics, or related field required.**Experience:** 5 years of experience in data architecture, database design, or healthcare IT required.**License(s)/Certification(s)/Registration(s):** None required.**Knowledge, Skills and Abilities:*** Proficiency in database management systems (SQL, NoSQL, cloud platforms).* Experience with healthcare interoperability standards (FHIR, HL7).* Familiarity with data modeling, ETL tools, and data integration platforms.* Programming skills (Python, Java, Scala) and experience with big data technologies.* Strong analytical, problem-solving, and communication abilities.* Ability to work collaboratively across clinical and technical teams.* Deep understanding of healthcare data security, privacy, and compliance requirements.* Experience in healthcare data governance, data hub design, and advanced analytics.* Knowledge of cloud-based data solutions (Azure, AWS, GCP).* Certification in data architecture, healthcare informatics, or related technologies preferred. #J-18808-Ljbffr