Description

You will design and manage complex data architectures, metadata frameworks, and governance strategies.

This role is hybrid.

Responsibilities

• Execute physical, logical, and conceptual data modeling using normalization techniques like 3NF.
• Develop data models from scratch, including taxonomy and canonical data modeling.
• Manage metadata using standards frameworks for naming and classwords.
• Implement data management methodologies covering architecture, storage, and security.
• Support data governance by defining strategies, goals, principles, and policies.

Required Skills

• 5+ years of professional experience in data-centric roles.
• 2-3+ years of hands-on expertise in data modeling.
• Proficiency with Erwin, MagicDraw, PowerDesigner, or Enterprise Architect.
• Experience with data integration, interoperability, and data quality solutions.
• Knowledge of Erwin or MagicDraw Data Modeling Tool APIs.
• Strong understanding of data modeling normalization and 3NF.
• Ability to work with physical, logical, and conceptual modeling layers.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Certification in Data Architecture or Modeling.
• Exposure to SKOS-based Financial Industry Business Ontology or Banking Industry Data Models.

Key Skills

Education

Bachelor s degree/University degree