Sr Advisor-Data Engineer MDM

FedEx Freight is seeking a Senior Advisor-Data Engineer specializing in Master Data Management. The role leads the architecture, implementation, governance, integration, and operational excellence of enterprise MDM capabilities using modern cloud-based data platforms, while providing technical leadership and mentorship to MDM teams.

Responsibilities:

• Lead the architecture, design, configuration, and implementation of Master Data Management solutions across multiple business domains
• Design and implement entity models, hierarchies, matching rules, survivorship strategies, stewardship workflows, and governance processes to ensure trusted master data assets
• Develop and maintain scalable data ingestion, synchronization, publishing, and distribution pipelines across enterprise source and target systems
• Architect and implement API-driven, event-based, and real-time integration solutions utilizing cloud-native technologies and enterprise integration patterns
• Lead enterprise data quality initiatives, including data profiling, rules implementation, monitoring, exception management, and remediation workflows
• Establish development standards, best practices, DevOps processes, and operational procedures supporting MDM platform reliability, scalability, and maintainability
• Provide strategic technical leadership, coaching, and direction to engineers, developers, and administrators, fostering technical excellence, innovation, and accountability in the design, delivery, and operation of enterprise data management and integration solutions
• Own the technical roadmap, platform strategy, and lifecycle management of enterprise MDM capabilities
• Collaborate with enterprise architects, business stakeholders, product teams, and data governance organizations to align master data capabilities with strategic business objectives
• Design and oversee integration architectures supporting Azure, Microsoft Fabric, Databricks, operational applications, data products, and analytics platforms
• Develop reusable frameworks and patterns for data onboarding, data sharing, data stewardship, data quality management, and master data syndication
• Ensure compliance with enterprise security, privacy, governance, and regulatory requirements related to master data assets
• Drive continuous improvement initiatives to increase data accuracy, consistency, usability, and operational efficiency across the enterprise
• Evaluate emerging technologies and industry best practices related to MDM, data governance, data quality, and cloud data platforms
• Comply with all applicable laws/regulations, as well as company policies/procedures
• Perform other duties as required

Requirements:

• Bachelor's degree in computer science, Information Systems, Engineering, Data Management, or related field
• Eight (8) years of progressively responsible experience designing and implementing enterprise data management, integration, and analytics solutions
• Five (5) years of hands-on experience implementing and supporting Master Data Management platforms
• Demonstrated expertise designing matching, survivorship, hierarchy management, stewardship, and governance workflows in an enterprise MDM environment
• Strong experience developing cloud-native data solutions within Azure, Microsoft Fabric, Microsoft Foundry, Databricks, or comparable modern data platforms
• Advanced proficiency in SQL, Java, JSON, Spring, Python, and PySpark development
• Experience designing and implementing REST APIs, event-driven architectures, messaging frameworks, and enterprise integration patterns
• Strong understanding of data modeling principles including conceptual, logical, and physical data design
• Experience establishing CI/CD pipelines, version control practices, and automated deployment frameworks using GitHub Actions, Azure DevOps, or equivalent technologies
• Demonstrated ability to lead technical teams, provide architectural guidance, mentor engineers, and establish engineering standards
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Experience developing and operating enterprise-grade data quality, governance, and data stewardship programs
• Ability to communicate complex technical concepts effectively to business and executive audiences