Enterprise Data Architect

🕒 Julho 25

🌪️ Kansas, Oklahoma, +2 estados a mais – Remoto

🌪️ Kansas – Remote 🌪️ Oklahoma – Remote 🏰 Missouri – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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OU Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏥 Saúde

⚕️ Seguro de Saúde

Healthcare • Healthcare Insurance

A OU Health é uma provedora de saúde completa que oferece uma ampla gama de serviços médicos, incluindo cuidados pediátricos, tratamento do câncer, cuidados para diabetes, atendimento de emergência e serviços especializados para adultos e crianças. Localizada em Oklahoma, a OU Health opera várias instalações, como o Hospital Infantil de Oklahoma e o Centro de Câncer Stephenson. Conhecida por sua pesquisa científica avançada e atendimento de qualidade, a organização se orgulha de ser reconhecida por excelência em áreas como cardiologia pediátrica e cirurgia cardíaca. Como parte de seu compromisso com a excelência médica, a OU Health também foca na educação médica e pesquisa, ajudando a treinar a próxima geração de profissionais de saúde.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• PTO • 401(k) • medical and dental plans • comprehensive benefits package