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Data Engineer​/Architect - MS Fabric

Job in Charleston, Kanawha County, West Virginia, 25329, USA
Listing for: SYSTEM West Virginia University Health System
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    IT Consultant, Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Data Architect for Enterprise Analytics - responsible for designing, developing, implementing, and optimizing data management and architecture strategies that align with business needs.

Minimum Qualifications
  • Bachelor’s degree in computer science, information technology, engineering, healthcare IT, business management or a related field; OR high school diploma or equivalent plus six (6) years of experience in computer science, information technology, engineering, healthcare IT, business management, or a related field.
  • This position may require additional certification in support of the responsibilities of the position, which will be provided by WVUHS Information Technology. Certification completion will be required within four months of formal certification training completion.
  • Internal employees must meet all mandatory competencies in current position to qualify for promotion within IT.
  • Two (2) years of experience in database architecture, data management life cycle, data warehouse solutions, and cloud solutions, including relational database design, query optimization, and ETL processing.
  • Two (2) years of experience in deploying and managing SSIS packages and processing real-time data.
  • Two (2) years of experience in designing and implementing enterprise-wide imaging solutions, including integration with healthcare IT systems such as EMR/EHR, HIS, and CIS.
  • Two (2) years of experience in diagnosing and resolving issues related to ETL processing and system integration across multiple platforms.
  • Two (2) years of experience managing large volumes of structured and unstructured data ensuring data integrity, security, and compliance with healthcare regulations and industry standards.
  • Preferred Qualifications
  • Bachelor’s degree in computer science, information technology, engineering, healthcare IT or an advanced degree.
  • Ten (10) years of experience in data architecture, specifically within healthcare environments, involving complex healthcare data systems and solutions.
  • Experience working with big data technologies (e.g., Hadoop, Spark) and real‑time data integration in a healthcare environment.
  • Extensive experience with population health management, clinical data modeling, and predictive analytics in healthcare.
  • Experience in managing and optimizing healthcare interoperability solutions, including HL7 FHIR and API‑based integrations.
  • Prior experience leading large‑scale data migration or system integration projects in healthcare settings, such as transitioning legacy systems to cloud‑based or modern data platforms.
  • Experience with healthcare‑specific business intelligence tools (e.g., Epic’s Clarity, Cerner’s Healthe Intent, Tableau in healthcare contexts).
  • Strong track record of ensuring data governance and adherence to regulatory frameworks (e.g., HIPAA, HITECH) in previous roles.
  • Experience with integrating imaging systems with other healthcare IT systems such as Electronic Medical Records (EMR/EHR), Health Information Systems (HIS), and Clinical Information Systems (CIS).
  • Experience working with vendors, managing contracts, and coordinating with external partners for system procurement and support.
  • Proficiency in managing large volumes of data, ensuring data integrity, security, and compliance with regulations.
  • Understanding of clinical workflows and how imaging systems support and enhance these workflows. Ability to design systems that align with and improve these processes.
  • Proven track record of leading complex IT projects related to imaging systems, from planning and design through implementation and support.
  • Knowledge of and experience with emerging imaging technologies, such as artificial intelligence (AI) for image analysis, machine learning algorithms, and cloud‑based imaging solutions.
  • Ability to develop and implement long‑term strategic plans for imaging systems that align with organizational goals and clinical needs.
  • Knowledge of current and emerging trends in medical imaging, including advancements in imaging modalities, technologies, and best practices.
  • Active participation in industry organizations, conferences, and professional networks to stay current with industry developments and build…
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