Enterprise Data Architect- Remote

Enterprise Data ArchitectEnterprise Data Architect to assess, design, and optimize enterprise data architecture across on-premises and hybrid environments.This role will focus on data modeling, integration, ETL/ELT architecture, metadata management, and data governance while partnering with cross-functional teams to improve enterprise data quality, scalability, and accessibility.Location: Remote or Dallas, TX (preferred)Duration: 2 monthsDuties:Design and evaluate enterprise data architecture and integration solutions.Analyze SQL and NoSQL database schemas and recommend improvements.Develop conceptual, logical, and physical data models.Design ETL/ELT processes and enterprise data pipelines.Create data mapping and transformation specifications.Assess and improve data quality through profiling and validation.Document data lineage, source-of-truth, and governance standards.Support API integrations using REST, SOAP, and event-driven architectures.Implement metadata management and data cataloging best practices.Analyze edge application data models and enterprise integration requirements.Collaborate with business and technical teams to establish enterprise data standards.Required Skills:SQL and NoSQL database schema analysisEnterprise data architecture (on-premises and hybrid environments)Conceptual, logical, and physical data modelingETL/ELT design and data pipeline developmentData transformation and mapping frameworksREST, SOAP, and event stream integrationData profiling and data quality assessment toolsData lineage and source-of-truth trackingData cataloging and metadata management toolsExperience with edge application data modelsStrong analytical, communication, and documentation skillsExperience:8+ years of enterprise data architecture or data engineering experience.Proven experience designing enterprise data models and integration architectures.Experience implementing data governance, metadata management, and data quality initiatives.Experience working within large enterprise environments.Ability to communicate effectively with technical and business stakeholders.Education:Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline.Equivalent professional experience will also be considered.