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Cloud Data Warehouse & Data Lake

Last Updated Date Jun 08, 2021 |
Stages Cloud Data Warehouse & Data Lake Role

The Metadata Manager's primary role is to serve as the central point of contact for all corporate metadata management. This role involves setting the company's metadata strategy, developing standards with the data administration group, determining metadata points of integration between disparate systems, and ensuring the ability to deliver metadata to business and technical users. The Metadata Manager is required to work across business and technical groups to ensure that consistent metadata standards are followed in all existing applications as well as in new development. The Metadata Manager also monitors the Informatica Platform’s metadata management components to ensure proper usage and consistency in deployment.

Responsibilities

  • Formulates and implements the metadata strategy.
  • Captures and integrates metadata from heterogeneous metadata sources.
  • Implements and governs best practices relating to enterprise metadata management standards.
  • Determines metadata points of integration between disparate systems.
  • Ensures the ability to deliver metadata to business and technical users.
  • Monitors development and production repositories for accuracy and metadata consistency.
  • Identifies and profiles data sources to populate metadata repositories, including Domain curation to eliminate false positives and false negatives.
  • Continuously assesses business and technical requirements of metadata information.
  • Designs metadata repository models.
  • Utilizes and manages metadata tools and solutions, including scheduling of regular scans on a periodic basis and ad-hoc scans as needed.
  • Assists in identifying and defining business glossary terms.
  • Instructing end users in the organization-specific metadata solution

Qualifications/Certifications

  • Business sector experience is essential.
  • SME in source system data design.
  • Experience in implementing and managing a repository environment.
  • Experience in data modeling (relational and dimensional).
  • Experience in using repository tools.
  • Solid knowledge of general data architecture concepts, standards, and best practices.
  • Strong analytical skills.
  • Excellent communication skills, both written and verbal.
  • Proven ability to work effectively with both business users and technical stakeholders.
  • Understanding of corporate IT security policies.
  • Understanding of applicable data governance policies.

 

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