Advisor-Data Engineer MDM

Advisor Data Engineer (MDM)

Lead the design, implementation, and evolution of enterprise Master Data Management (MDM) capabilities utilizing modern cloud-based data platforms. Provide leadership and mentorship to MDM team while partnering with business, data, and technology stakeholders to establish trusted, governed master data products that support enterprise-wide analytics, operational processes, and strategic transformation initiatives.

• 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.
• Establish development standards, best practices, Dev Ops processes, and operational procedures supporting MDM platform reliability, scalability, and maintainability.
• Provide technical leadership, mentoring, and guidance to engineers, developers, and administrators responsible for data management and integration solutions.
• 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.
• Perform other duties as required.

• Bachelor’s degree in computer science, Information Systems, Engineering, Data Management, or related field, or equivalent work experience.
• Five (5) or more years of progressively responsible experience designing and implementing enterprise data management, integration, and analytics solutions.
• Three (3) or more 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 Git Hub Actions, Azure Dev Ops, 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…