We're looking for an innovative and detail-oriented SAP BDC Data Architect to join our team in Houston, United States. In this role, you will design, develop, and optimize enterprise data architecture solutions using SAP Batch Data Communication (BDC) technology. You will collaborate with cross-functional teams to ensure efficient data integration, migration, and management across complex systems while maintaining the highest standards of data integrity and governance. This is an excellent opportunity to leverage your technical expertise and visionary thinking to drive transformational data solutions that support organizational objectives.Design and architect scalable, innovative data solutions using SAP BDC that align with business requirements and enterprise standardsDevelop and optimize BDC scripts and programs to automate data migration, validation, and integration processes with precision and efficiencyAnalyze complex business processes and translate them into well-organized data architecture models and comprehensive technical specificationsCollaborate transparently with SAP consultants, business analysts, and IT teams to implement data solutions that drive organizational successCreate and maintain detailed data architecture documentation, including data flow diagrams, entity-relationship models, and system integration mapsPerform thorough data quality assessments and implement robust governance frameworks to ensure accuracy, consistency, and regulatory complianceTroubleshoot and resolve data-related issues with analytical rigor, identifying root causes and implementing preventive measuresMonitor system performance and optimize BDC processes to improve efficiency, reduce processing time, and enhance overall system reliabilityStay current with SAP updates, industry best practices, and emerging data architecture technologies to maintain competitive advantageProvide supportive technical guidance and mentoring to junior team members on data architecture principles and SAP BDC implementationEnsure data security and privacy standards are maintained throughout all data architecture initiatives and implementationsLead performance tuning and optimization efforts to maximize system efficiency and user satisfaction