Enterprise Data Architect
At a glance
Mid-level Data Architecture & Governance role at OU Health. Virtual · full-time · no salary stated · we estimate $99,518–$156,000 across the United States.
OU Health has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain secure data platforms, including warehouses, lakes and real-time processing systems
- Create data models that align clinical, research and operational information, including claims and provider data
- Design ETL/ELT flows that move information between OU Health and external entities
- Gather needs from clinical, research and administrative teams, then turn them into workable data solutions
- Protect patient information, tune database performance and maintain architecture records, data dictionaries and guidance
What you bring
- A bachelor's degree in computer science, information systems, health informatics or a related discipline
- At least five years in data architecture, database design or healthcare IT
Who this fits
This role suits someone who has built enterprise data platforms hands-on and can work across clinical and technical teams. The job may be done remotely if you live and work full-time in Arkansas, Kansas, Missouri, Oklahoma or Texas, or relocate to one of those states before starting. It includes training and mentoring teammates.
From the employer
Position Title:
Enterprise Data ArchitectDepartment:
ETS Analytics and AI DataJob 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.