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MDM Architect
Job in
Westerville, Delaware County, Ohio, 43082, USA
Listed on 2026-06-02
Listing for:
Vertiv Holdings, LLC
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Engineer, Systems Engineer, Data Security
Job Description & How to Apply Below
MDM Architect - Individual Contributor (Full-Time)
Location:
Westerville, OH
Role Summary
The MDM Architect is a senior individual contributor responsible for defining and evolving the enterprise master data architecture across multiple domains, including Customer, Supplier, Item, and Product Hierarchy, with a mandate to expand into additional domains over time. This role operates in an environment with highly complex, regionally varying master data processes and a disparate application landscape, where master data is created, modified, and consumed across multiple systems and business workflows.
Master data is touched by multiple business functions-including Finance, Accounting, Sales, Marketing, Service, and Operations-each with differing requirements, ownership models, and timing of change. Rules governing golden records, duplication, and data lifecycle vary by region and domain, and in many cases are still evolving. This complexity requires an architect who can design scalable, resilient, and pragmatic solutions that protect the integrity of the golden record while enabling the business to operate at speed.
The MDM Architect partners closely with global business and IT stakeholders to translate data strategy, governance objectives, and business needs into executable architectures and delivered outcomes. The role demands strong technical depth, the ability to work across ambiguity, and the interpersonal skills to influence decisions and drive alignment without direct authority. Success is enabled by delivering trusted, timely, and operationally reliable master data that supports downstream operational and analytical use at enterprise scale.
Key Responsibilities
Architecture & Platform Strategy
* Define and evolve the MDM domain and solution architecture across multiple master data domains.
* Establish scalable architecture patterns for mastering, integration, data quality, and distribution of master data.
* Translate enterprise data strategy into actionable architecture decisions that can be executed incrementally.
* Ensure architectural consistency while allowing for variability in regional processes and data ownership models.
* Provide architectural direction that enables future domain expansion without rework.
Golden Record, Data Quality, and Governance Enablement
* Define and implement golden record strategies, including survivorship, ownership, and lifecycle management.
* Design technical enablement for match, merge, and de-duplication, accounting for varying business rules.
* Partner with governance and stewardship teams to embed data quality controls, exception handling, and accountability into the platform.
* Enable measurable improvements in data accuracy, completeness, and consistency across consuming systems.
* Ensure governance concepts are translated into practical, enforceable technical solutions.
Systems and Integration
* Architect resilient, scalable integrations between MDM and upstream/downstream enterprise systems.
* Design patterns for distributed data creation and maintenance, including synchronization and conflict resolution.
* Ensure master data is delivered accurately and on time to operational and analytical platforms, including the data lake.
* Define integration standards that support reliability, performance, observability, and recoverability.
* Reduce operational fragility through simplified data flows and clear system responsibilities.
Security, Compliance, and Risk Management
* Design solutions that meet security, access control, auditability, and compliance requirements.
* Ensure appropriate controls are built into master data creation, change, and distribution processes.
* Proactively identify architectural, data, and operational risks and drive mitigation strategies.
* Partner with risk, audit, and compliance stakeholders to ensure solutions meet enterprise control expectations.
Stakeholder Partnership and Influence
* Build strong, trust-based relationships with business and IT stakeholders across multiple regions.
* Facilitate alignment on data ownership, decision rights, and architectural trade-offs.
* Influence outcomes without formal authority by providing clear recommendations grounded in data and impact.
* Act as a unifying technical voice across functions that depend on master data.
Delivery Leadership
* Provide hands-on architectural leadership for complex, multi-workstream initiatives.
* Create solution architectures for projects, ensuring designs are executable and aligned to platform strategy.
* Partner with delivery teams to remove ambiguity, unblock execution, and drive timely outcomes.
* Enable the business to realize value from data by delivering clean, trusted master data to analytical platforms.
* Design and promote operational monitoring and resilience mechanisms to achieve high availability and reliability.
Required Qualifications
* Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. 10-12 years of experience in IT/data architecture, with significant…
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