MDM Architect

About the role

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.

Responsibilities

• 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.
• Enable 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.
• Design 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.
• Design solutions that meet security, access control, auditability, and compliance requirements.
• Built appropriate controls 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.
• 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.
• 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.
• Deliver clean, trusted master data to analytical platforms.
• Design and promote operational monitoring and resilience mechanisms to achieve high availability and reliability.

  Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • 10–12 years of experience in IT/data architecture, with significant experience in MDM architecture and implementation.
  • Proven delivery of enterprise-scale MDM solutions in complex, multi-system environments.
  • Strong mastery of MDM concepts and patterns, including golden record design, match/merge, survivorship, hierarchy management, and stewardship workflows.
  • Hands-on experience with data integration and ETL/ELT tools and integration patterns.
  • Advanced SQL and strong relational database skills (e.g., Oracle, SQL Server, DB2, Snowflake or similar).
  • Strong understanding of data quality management (profiling, rules, monitoring, remediation).
  • Experience enabling or supporting data governance and stewardship operating practices.
  • Experience working in Agile delivery environments providing architectural guidance to delivery teams.
  • Demonstrated ability to lead and influence without direct authority across technical and business stakeholders.
  • Experience designing solutions with security, auditability, and compliance considerations (including SOX-relevant controls).
  • Architecture level understanding of how enterprise AI platforms work.
  • Familiarity with AWS bedrock.
  • Ability to use Claude code or similar to design agentic flows and integrate them with MDM workflows.