Data Architecture(Teradata MDM)

Key Responsibilities

• MDM Architecture Strategy
• Define endtoend MDM architecture using Teradata MDM for largescale eGovernance programs
• Design golden record models domain models and crossdomain relationships Person PAN Entity Address Contact etc
• Establish MDM operating model including hubandspoke integration with data lakelakehouse and downstream systems
• Identity Entity Resolution
• Design and ensure proper implementation of deterministic exact rulebased keybased matchingmatching rules probabilistic probabilistic fuzzy matching models using scoring weighting thresholds and survivorship logic
• Define matchmergeunmerge strategies with full audit traceability
• Optimize entity resolution for scale accuracy and explainability critical for taxlegal use cases
• Data Quality Governance
• Define enterprise data quality rules profiling strategies and exception handling mechanisms
• Integrate MDM with data governance catalog and lineage frameworks
• Define stewardship workflows approvals overrides and remediation processes
• Ensure compliance with government standards audit requirements and data privacy regulations
• Integration Interoperability
• Design integration patterns between Teradata MDM and
• ETL platforms Talend
• Data Lakehouse Teradata Vantage HadoopSpark
• BI Analytics platforms QlikSense
• External systems and APIs
• Ensure interoperability using standardized APIs and eventdriven patterns
• Leadership Collaboration
• Provide technical leadership to MDM leads developers and data stewards
• Collaborate with Solution Architects Data Architects Governance Leads and Program Managers
• Support UAT production rollouts and audit reviews
• Documentation Audit Readiness
• Maintain comprehensive documentation
• MDM architecture design
• Match rules and scoring logic
• Survivorship and stewardship policies
• Data lineage and audit trails
• Ensure solutions are defensible in statutory audit and legal reviews