Master Data Management Architect

Bachelor'sMaster's Overview: We are seeking a highly skilled and experienced Celonis MDM Data Architect to lead the design, implementation, and optimization of our Master Data Management (MDM) solutions in alignment with Celonis Process Mining and Execution Management System (EMS) capabilities. The ideal candidate will play a key role in bridging data architecture and business process insights, ensuring data quality, consistency, and governance across the enterprise. Key Responsibilities: Design and implement MDM architecture and data models aligned with enterprise standards and best practices. • Lead the integration of Celonis with MDM platforms to drive intelligent process automation, data governance, and operational efficiencies. • Collaborate with business stakeholders and data stewards to define MDM policies, rules, and processes. • Support data profiling, data cleansing, and data harmonization efforts to improve master data quality. • Work closely with Celonis analysts, data engineers, and process owners to deliver actionable insights based on MDM-aligned process data. • Develop and maintain scalable, secure, and high-performance data pipelines and integration architectures. • Translate business requirements into technical solutions, ensuring alignment with both MDM and Celonis data models. • Create and maintain data architecture documentation, data dictionaries, and metadata repositories. • Monitor and optimize the performance of MDM systems and Celonis EMS integrations. Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, or a related field. • 7+ years of experience in data architecture, MDM, or enterprise data management. • 2+ years of hands-on experience with Celonis and process mining tools. • Proficient in MDM platforms (e.g., Informatica MDM, SAP MDG, Oracle MDM, etc.). • Strong knowledge of data modeling, data governance, and metadata management. • Proficiency in SQL, data integration tools (e.g., ETL/ELT platforms), and APIs. • Deep understanding of business process management and data-driven transformation initiatives.