MDM Data Engineer Lead: Cloud & Governance

OP RaaS

Tennessee

Hybrid

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

OP RaaS is seeking an Advisor Data Engineer (MDM) to lead design and evolution of enterprise MDM capabilities on cloud platforms. You will mentor the MDM team and partner with business, data, and technology stakeholders to create governed master data products that support enterprise analytics and strategic initiatives.

The role emphasizes API-driven, event-based, and real-time integration, with strong focus on data quality, security, and governance across Azure, Databricks, and related

Qualifications

  • Bachelor's degree or equivalent work experience.
  • 5+ years designing and implementing enterprise data management/integration/analytics solutions.
  • 3+ years implementing and supporting MDM platforms.
  • Expertise in matching, survivorship, hierarchies, governance workflows.
  • Cloud-native data solutions on Azure, Databricks, or similar.

Responsibilities

  • Design entity models, hierarchies, matching rules, survivorship and governance workflows.
  • Develop scalable data ingestion, synchronization, publishing, and distribution pipelines.
  • Architect API-driven, event-based, and real-time integration solutions.
  • Establish DevOps processes, standards, and operational procedures for MDM platform reliability.
  • Provide technical leadership and mentorship to engineers and admins.

Skills

MDM Design
Cloud-native data
Azure
Databricks
SQL
Python
Java
REST APIs
CI/CD

Education

Bachelor's degree in CS/IS/Engineering or related field

Tools

Azure
Databricks
Microsoft Fabric
Microsoft Foundry
Delta Lake

Job description

OP RaaS is seeking an Advisor Data Engineer (MDM) to lead design and evolution of enterprise MDM capabilities on cloud platforms. You will mentor the MDM team and partner with business, data, and technology stakeholders to create governed master data products that support enterprise analytics and strategic initiatives.

The role emphasizes API-driven, event-based, and real-time integration, with strong focus on data quality, security, and governance across Azure, Databricks, and related

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