24 hours ago
Karachi, PakistanMid Level

Responsibilities

  • Deploy the selected MDM platform on the agreed GCP footprint with the DataOps Engineer.
  • Configure domain models, match rules, survivorship rules, and merge/unmerge behavior, tuning thresholds against real data.
  • Build source-to-MDM ingestion and cross-reference structures keyed to source systems.
  • Implement steward review queues, task routing, audit trails, and versioned reference data with change approval.
  • Build publication views and golden-key joins at the silver layer with Data Engineers.
  • Register the MDM model and lineage in Dataplex.
  • Implement monitoring for match rate, duplicate rate, steward backlog, and throughput.
  • Produce the MDM runbook and provide knowledge transfer support.

Requirements

  • At least 4 years of hands-on experience implementing MDM platforms through configuration and development, not solely administration.
  • Vendor certification or demonstrable experience with the selected MDM product.
  • Strong SQL skills.
  • Java or Python experience, depending on the platform's extension model.
  • Experience with API integration patterns for publishing mastered data to consuming systems.
  • Experience tuning match-job performance at multi-million-record scale.
  • Vendor certification on the selected MDM product is required.

Tech Stack

Categories

Data Engineering
Datamatics Technologies

About Datamatics Technologies

51-200 employees

Datamatics Technologies is a London-headquartered, privately held IT services firm founded in 2016 that delivers onsite and offshore data analytics and data science solutions. It provides resource augmentation and managed services—on time-and-materials or fixed-price terms—covering data warehousing, BI, ETL, information security, and cloud platform engineering with emphasis on Oracle Cloud. The company serves telecom, finance, government, and manufacturing clients, primarily across the Middle East and Africa.

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