Enterprise Data Architect

9 hours ago

Muscat, Muscat, Oman beBeeDataarchitect Full time 9,000 - 12,000

Job Description:

The Central Bank of Oman is seeking a highly skilled Enterprise Data Architect to design and maintain conceptual, logical, and physical data models related to aspects of master data and metadata.

This role ensures data integrity, accuracy, and relevance through robust modelling practices, collecting, curating and managing metadata, managing master data practices as well as enabling insightful analysis aligned with regulatory and policy objectives.

The Enterprise Data Architect will support decision-making by transforming raw data into actionable insights and help maintain a reliable data foundation across the organization.

Key Responsibilities:

  • Develop and maintain conceptual, logical, and physical data models to support data collections and internal analytics of CBO.
  • Work closely with business users, policy experts, and IT teams to gather data requirements and translate them into effective data models.
  • Understand the linkages to master and reference data as well as the meta data requirements when engaging with business users.
  • Document metadata, data definitions, lineage, and relationships to support governance and transparency.
  • Support the integration of data from multiple internal and external sources into a centralized data warehouse or data lake environment.
  • Ensure consistency and quality of data models across projects, aligning with enterprise architecture standards.
  • Collaborate with internal stakeholders (supervision, policy, legal, IT) to establish and enforce data standards, naming conventions, and classification schemas.
  • Monitor and manage data quality, conduct root-cause analysis of data issues, and implement corrective actions.
  • Collaborate with data stewards and data governance teams to maintain data quality and standards.
  • Support the integration and alignment of master data with external reference sources (e.g., LEI, SWIFT BIC, national identifiers).
  • Develop, implement, and maintain enterprise metadata standards, procedures, and repositories.
  • Document and manage business and technical metadata for key data assets, including regulatory reporting data, reference data, and analytics datasets.
  • Collaborate with data stewards, analysts, and IT teams to collect metadata from various systems and data sources.
  • Create and maintain data dictionaries, glossaries, and lineage documentation that support data quality, transparency, and compliance.
  • Generate reports and dashboards using BI tools to support internal stakeholders and reporting functions.
  • Contribute to regulatory innovation projects, including adoption of SupTech/RegTech solutions and advanced analytics.
  • Support data validation and reconciliation activities, particularly in the context of data submissions and the data engineering activities.
  • Monitor metadata quality and completeness and drive improvements across data domains.

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