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Enterprise Data Architect
OU HealthEnterprise Data Architect in OU Health, focusing on building a scalable data solution. Will design data architecture across clinical, research, and operational systems.
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformJavaNoSQLPythonScalaSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Information Systems, Health Informatics, or related field required.
- 5 years of experience in data architecture, database design, or healthcare IT required.
- 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.
Benefits
Comp & perks- PTO
- 401(k)
- medical and dental plans
- comprehensive benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedatabase designETLdata modelingSQLNoSQLPythonJavaScalabig data technologies
Soft Skills
analytical skillsproblem-solvingcommunicationcollaborationmentorshipknowledge sharingfacilitationleadershiptrainingstakeholder engagement
Certifications
data architecture certificationhealthcare informatics certification