POSITION OVERVIEW
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.
RESPONSIBILITIES
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, DevOps 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.
QUALIFICATIONS
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 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.
WORKING CONDITIONS
Ability to work in a hybrid environment.
Must be able to travel as required to support business and project initiatives.
PREFERRED SKILLS / KNOWLEDGE
- Deep expertise with MDM platform architecture, configuration, administration, and operational support.
- Experience designing and implementing enterprise-scale Master Data Management operating models, governance frameworks, and data product strategies.
- Strong knowledge of Microsoft Azure services, Microsoft Fabric, Microsoft Foundry, Databricks, Delta Lake, Lakehouse architecture, and modern data platform ecosystems.
- Understanding of event-driven architectures, microservices, enterprise integration frameworks, APIs, messaging technologies, and real-time data synchronization patterns.
- Experience implementing domain-driven MDM architectures supporting Customer, Shipment, Contact, Location, and Reference Data domains.
- Knowledge of enterprise data governance disciplines including metadata management, data lineage, business glossary, data ownership, and stewardship practices.
- Experience supporting Medallion Architecture patterns (Bronze, Silver, Gold) and integrating trusted master data into enterprise analytical ecosystems.
- Familiarity with data products, data mesh concepts, and modern distributed data ownership models.
- Knowledge of enterprise architecture methodologies, system integration strategies, and cloud modernization initiatives.
- Demonstrated ability to balance strategic architecture responsibilities with hands-on engineering and solution delivery.