Deploy the selected MDM platform on the agreed GCP footprint (GKE/Compute Engine with Cloud SQL or BigQuery persistence), with the DataOps Engineer.
Configure domain models, match rules, survivorship rules and merge/unmerge behaviour; iterate thresholds against real data until match quality targets are met.
Build the source-to-MDM ingestion and the cross-reference structures keyed back to each source system.
Implement the steward review queue, task routing and audit trail.
Implement reference data structures with versioning and change approval.
Build publication views and the golden-key join applied at silver, with the Data Engineers.
Register the MDM model and its lineage into Dataplex.
Build MDM monitoring: match rate, duplicate rate, steward backlog, throughput.
Produce the MDM runbook and support KT.
Required skills and experience
4+ years implementing MDM platforms hands-on (configuration and development, not solely administration).
Certified or demonstrably experienced on the selected product.
Strong SQL; Java or Python depending on the platform's extension model.
API integration patterns for publishing mastered data to consuming systems.
Performance tuning of match jobs at multi-million-record scale
Certifications
Required: Vendor certification on the selected MDM product