Advisor-Data Engineer MDM

OP RaaS; Tennessee; Ibrido; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

MDM Design

Cloud-native data

Azure

Databricks

SQL

Python

Java

REST APIs

CI/CD

Formazione

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

Strumenti

Azure

Databricks

Microsoft Fabric

Microsoft Foundry

Delta Lake

Descrizione del lavoro

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

1. Deep expertise with MDM platform architecture, configuration, administration, and operational support.
2. Experience designing and implementing enterprise-scale Master Data Management operating models, governance frameworks, and data product strategies.
3. Strong knowledge of Microsoft Azure services, Microsoft Fabric, Microsoft Foundry, Databricks, Delta Lake, Lakehouse architecture, and modern data platform ecosystems.
4. Understanding of event-driven architectures, microservices, enterprise integration frameworks, APIs, messaging technologies, and real-time data synchronization patterns.
5. Experience implementing domain-driven MDM architectures supporting Customer, Shipment, Contact, Location, and Reference Data domains.
6. Knowledge of enterprise data governance disciplines including metadata management, data lineage, business glossary, data ownership, and stewardship practices.
7. Experience supporting Medallion Architecture patterns (Bronze, Silver, Gold) and integrating trusted master data into enterprise analytical ecosystems.
8. Familiarity with data products, data mesh concepts, and modern distributed data ownership models.
9. Knowledge of enterprise architecture methodologies, system integration strategies, and cloud modernization initiatives.
10. Demonstrated ability to balance strategic architecture responsibilities with hands‑on engineering and solution delivery.