Data Engineer/Architect - MS Fabric
Listed on 2026-07-10
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IT/Tech
Data Engineering, IT Consultant, Cloud Computing: Infrastructure & Operations, Data Security
Data Architect for Enterprise Analytics
The Data Architect for Enterprise Analytics is responsible for designing, developing, implementing, and optimizing data management and architecture strategies that align with business needs. This role ensures the completeness of architecture by addressing the key concerns of stakeholders and the broader enterprise, ensuring its integrity by connecting stakeholder views and resolving interests. The architect evaluates the practicality and fitness of architecture solutions, leveraging both business and technology insights to enhance or transform processes, practices, and systems.
Staying informed on emerging technologies and industry trends, the Data Architect may also lead special projects, driving innovation and alignment across the enterprise.
- Education, Certification, and/or Licensure:
Bachelor’s degree in computer science, information technology, engineering, healthcare IT, business management or a related field. - OR High school diploma or equivalent AND six (6) years’ experience in computer science, information technology, engineering, healthcare IT, business management, or related field.
- Certification:
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.
- Experience:
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.
- Education, Certification, and/or Licensure:
Bachelor’s degree in computer science, information technology, engineering, healthcare IT or 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…
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