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Data Architect

Job in Athens, Clarke County, Georgia, 30604, USA
Listing for: The Association of Technology, Management and Applied Engineering
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Position

Data Architect II – Database Administrator

External Retirement Plan TRS or ORP.

Full Time, Monday‑Friday 8:00 a.m. – 5:00 p.m.; flexibility may be required at times.

Salary commensurate with experience.

Posting date: 12/02/2025, Proposal starting date: 02/01/2026.

Minimum Qualifications
  • Bachelor’s degree in a related field or equivalent and 2 years of professional experience.
Preferred Qualifications
  • Bachelor’s degree in data science, computer science, information technology, or a related field (Master’s degree preferred).
  • Proven experience designing and implementing complex data solutions in a healthcare or academic setting.
  • Knowledge of machine learning algorithms and AI integration in healthcare.
  • Certification in relevant technologies (e.g., AWS Certified Big Data).
  • Understanding of bioinformatics or genomics data management.
  • Experience with No

    SQL databases.
Responsibilities Data Architecture Design
  • Develop and maintain the overall data architecture strategy tailored to medical education, research and clinical operations.
  • Design and implement effective database solutions and models to store and retrieve education, medical, and research data.
  • Ensure the data architecture is scalable, secure, and compliant with healthcare regulations and UGA IT standards.
  • Develop and collaborate to implement a framework for integrating the School of Medicine’s IT systems with UGA’s enterprise IT infrastructure, ensuring compatibility, security, and efficiency.
Data Integration
  • Ensure interoperability of data needed from learning management systems, curriculum management systems, student information systems, clinical scheduling systems, secure testing systems, curriculum mapping systems, research databases, and university‑wide IT resources while maintaining strict security and compliance with UGA IT standards, HIPAA, FERPA, and other regulations.
  • Ensure seamless data flow between different systems and platforms used in medical education, research and patient care. Implement ETL (Extract, Transform, Load) processes to consolidate medical data.
Data Governance
  • Establish and enforce data governance policies and procedures specific to medical education and healthcare data.
  • Ensure compliance with UGA data standards and relevant regulations such as HIPAA and FERPA.
  • Monitor data quality and implement measures to improve data accuracy and consistency in medical records.
Collaboration
  • Work closely with medical educators, researchers, clinicians, business analysts, developers, and other IT professionals to understand the unique requirements of medical data.
  • Collaborate with stakeholders to define data needs for research projects, clinical trials, and patient care initiatives.
  • Provide guidance and support to development teams on database design and optimization for healthcare applications.
  • Serve as the primary technical liaison between the School of Medicine and UGA’s IT leadership, working closely with academic affairs, student services, clinical partners, and external vendors to align IT systems with institutional goals.
Infrastructure and Performance Optimization
  • Collaborate with UGA’s Enterprise Information Technology Services to optimize cloud and on‑premises storage, computing resources, and data pipelines to support medical education, research and operational needs.
  • Analyze database performance issues related to large‑scale medical datasets and implement solutions to enhance performance.
  • Conduct regular performance tuning and optimization of databases used in medical research and clinical operations.
  • Implement indexing strategies to improve query performance for complex medical queries.
Documentation
  • Create comprehensive documentation of the data architecture, including diagrams, models, and metadata specific to medical datasets.
  • Maintain up‑to‑date documentation of all changes to the data architecture.
Technology Evaluation
  • Stay current with emerging technologies and trends in medical education and healthcare data management.
  • Evaluate new tools and technologies that can enhance the school’s data capabilities in medical education, research and patient care. Make recommendations for technology adoption based on thorough analysis.
Key Skills…
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