MDM Data Engineer Lead — Cloud & Governance (Remote)

FedEx Freight, Inc.; Southwind (TN); Hybrid; USD 94,000 - 180,000; Full time

Job summary

FedEx Freight, Inc. is seeking a senior leader to design and evolve enterprise Master Data Management capabilities using Azure, Databricks, and cloud-native patterns. You will mentor engineers, collaborate with stakeholders, and align data products with strategic goals.

The role emphasizes governance, data quality, and scalable data platforms, with hybrid office expectations for certain locations and a remote work option for others. Strong SQL, Java, and Python are essential.

Qualifications

• Bachelor's degree in a related field.
• 5+ years designing and implementing enterprise data management and analytics.
• 3+ years with Master Data Management platforms.
• Expertise in matching, survivorship, and hierarchy workflows.

Responsibilities

• Design and implement entity models, hierarchies, matching rules, survivorship strategies, and governance workflows.
• Develop scalable data ingestion, synchronization, and distribution pipelines across enterprise systems.
• Architect API-driven, event-based, and real-time integration solutions using cloud-native tech.
• Establish DevOps, standards, and procedures for MDM platform reliability and scalability.
• Provide mentorship and architectural guidance to engineers and administrators."

Skills

SQL

Java

JSON

Spring

Python

PySpark

REST APIs

Event-driven

CI/CD

GitHub Actions

Azure DevOps

Data modeling

Leadership

Stakeholder mgmt

Education

Bachelor's degree in computer science, Information Systems, Engineering, Data Management, or related field

Tools

Azure

Databricks

Microsoft Fabric

Microsoft Foundry

Job description

FedEx Freight, Inc. is seeking a senior leader to design and evolve enterprise Master Data Management capabilities using Azure, Databricks, and cloud-native patterns. You will mentor engineers, collaborate with stakeholders, and align data products with strategic goals.

The role emphasizes governance, data quality, and scalable data platforms, with hybrid office expectations for certain locations and a remote work option for others. Strong SQL, Java, and Python are essential.