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Job Description

FedEx Freight is seeking an Advisor-Data Engineer focused on Master Data Management (MDM) to lead enterprise MDM design, implementation, and ongoing modernization. This hybrid role in Memphis, TN partners with business, data, and technology stakeholders to deliver trusted and governed master data products using cloud-based platforms.

Key Responsibilities

  • Lead the design, implementation, and evolution of enterprise Master Data Management (MDM) capabilities using modern cloud-based data platforms.
  • Design and implement entity models, hierarchies, matching rules, survivorship strategies, stewardship workflows, and governance processes to support 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 using cloud-native technologies and enterprise integration patterns.
  • Establish development standards, best practices, DevOps processes, and operational procedures that support MDM platform reliability, scalability, and maintainability.
  • Provide technical leadership, mentoring, and guidance to engineers, developers, and administrators working on data management and integration solutions.
  • Collaborate with enterprise architects, business stakeholders, product teams, and data governance organizations to align master data capabilities with strategic 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 enhance data accuracy, consistency, usability, and operational efficiency across the enterprise.
  • Evaluate emerging technologies and industry best practices for MDM, data governance, data quality, and cloud data platforms.
  • Comply with applicable laws/regulations and company policies/procedures.
  • Perform other duties as required.

Required Qualifications

  • Bachelor’s degree in computer science, Information Systems, Engineering, Data Management, or a related field.
  • Five (5) years of progressively responsible experience designing and implementing enterprise data management, integration, and analytics solutions.
  • Three (3) 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.

Technologies

  • Azure, Microsoft Fabric, Microsoft Foundry, Databricks
  • SQL, Java, JSON, Spring, Python, PySpark
  • REST APIs, event-driven architectures, messaging frameworks
  • CI/CD pipelines, GitHub Actions, Azure DevOps

Salary

USD 93,851 - 180,195 per yearly

Pay Transparency: Pay ranges vary by location. The posted range includes: Colorado Springs, Grand Junction; Henderson, Mead; Gypsum (all $93,851.00 - $180,195.00). Effingham, Kankakee, Lincoln, Quincy, Rockford, Aurora (all $93,851.00 - $180,195.00); Bolingbrook, Chicago Heights, Des Plaines, Elmhurst, Forest View, Joliet, Schaumburg, Summit-Argo, Zion ($93,851.00 - $180,195.00). Plattsburgh, Buffalo, Watertown, North Chili, East Syracuse, Nichols ($93,851.00 - $180,195.00); Bethpage, Montgomery, West Babylon ($93,851.00 - $180,195.00). New Jersey postings list $93,851.00 - $146,408.00.

Benefits

  • Health, vision, dental, life, AD&D, STD and LTD insurance
  • Employee assistance program
  • Personal/sick paid time
  • 401(k) retirement savings plan
  • Bonus potential
  • Tuition reimbursement
  • Adoption assistance
  • 2 weeks paid parental leave
  • Paid bereavement
  • Employee discounts
  • 6.67–13.34 hours vacation per month based on service time
  • 8 paid holidays

Remote / Hybrid Work Location and Schedule

  • Eligible for remote work if the candidate is located outside the Harrison, AR and Memphis, TN areas, and resides within 50 miles of a FedEx Freight location within the continental U.S.
  • If located in the Memphis, TN or Harrison, AR areas, the candidate must work a hybrid schedule, three days per week in the office.

Job Conditions

  • Must be able to travel as required to support business and project initiatives.
  • Ability to work in a hybrid environment.

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