Description
You will design and manage complex data architectures and metadata frameworks.
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.