Cynet Systems · 1 week ago
MDM Technical Lead
Cynet Systems is a company seeking an MDM Technical Lead to oversee the technical design authority for their Product MDM ecosystem. The role involves leading solution architecture, ensuring architectural consistency, and driving technology strategy in collaboration with stakeholders.
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Responsibilities
Act as technical design authority for the Product MDM ecosystem, defining data models, integration patterns, and architectural standards
Lead end-to-end solution design and impact assessments for enhancements and integrations
Ensure architecture consistency across data engineering, integration, and application teams
Drive technology strategy and roadmap in collaboration with business and program stakeholders
Oversee technical delivery governance including estimation, dependency management, and risk identification
Partner with DevOps teams to define and enforce operational standards including SLAs, uptime, and performance metrics
Support release planning, cutover readiness, and transition from build to operations
Facilitate root cause analysis and postmortems, driving continuous improvement
Maintain clear and actionable architectural documentation and standards
Qualification
Required
10+ years of experience in enterprise data, MDM, or integration architecture roles
3–5 years of experience in technical leadership or delivery oversight
Strong hands-on experience with Oracle Product Data Hub or equivalent Product MDM systems
Experience with enterprise integration frameworks and API design
Familiarity with cloud-based data platforms and modern data engineering patterns
Strong understanding of DevOps principles, SLAs, incident management, and performance optimization
Leading solution architecture and technical design for large-scale MDM ecosystems
Coordinating delivery across multiple engineering and DevOps teams
Working with data integration middleware and orchestration platforms
Supporting production systems with operational ownership and governance
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Preferred
Experience in regulated or enterprise-scale environments preferred
Experience with machine learning–based data enrichment solutions
Exposure to low-code application platforms
Familiarity with data governance, lineage, stewardship, and metadata management