Enterprise Data Architect

Carbon Data Solutions

United States

Remote

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

OU Health seeks an Enterprise Data Architect to lead the design and maintenance of the Enterprise Data Platform and Architecture Framework. You will build scalable, secure data systems and govern data across clinical, research, and administrative domains to support analytics and compliance.

Collaborating with clinical, IT, and research leaders, you will drive data integration, modeling, and security strategies, ensuring a future-ready analytics environment for diverse data needs.

Qualifications

  • Bachelor's degree in a related field required.
  • 5 years of experience in data architecture or healthcare IT.
  • Strong knowledge of SQL/NoSQL and cloud platforms.
  • Experience with healthcare interoperability standards (FHIR, HL7).
  • Proficiency in data modeling, ETL tools, and data integration.

Responsibilities

  • Develop scalable, secure data systems (warehouses, lakes, real-time platforms) for enterprise analytics.
  • Define and maintain conceptual, logical, and physical data models across clinical and operational domains.
  • Design and oversee ETL/ELT pipelines enabling data flow between entities.
  • Collaborate with clinical, research, and admin stakeholders to gather requirements.
  • Monitor and optimize database performance; implement new technologies as needed.
  • Implement robust security and backup procedures to protect patient data.
  • Prepare system documentation and architecture blueprints; mentor team members.
  • Identify opportunities to enhance data infrastructure and analytics capabilities.

Skills

Database management
FHIR/HL7 knowledge
Data modeling
ETL/ELT
Python/Java/Scala
Cloud platforms
Communication
Security/compliance

Education

Bachelor's Degree in CS/Health Informatics/IS

Tools

ETL tools
Data integration platforms
Cloud data services (Azure/AWS/GCP)

Job description

Position Title:

Enterprise Data Architect

Department:

ETS Analytics and AI Data

Job Description:

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.

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.

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.

Current OU Health Employees - Please click HERE to login.

OU Health is an equal opportunity employer. We offer a comprehensive benefits package, including PTO, 401(k), medical and dental plans, and many more. We know that a total benefits and compensation package, designed to meet your specific needs both inside and outside of the work environment, create peace of mind for you and your family.

Originally posted on Himalayas

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