Data Modeller
2 days ago
Roles and Responsibilities:
Data Model Consolidation: Analyze and document existing legacy data models across
multiple platforms. Map legacy data structures to target models, ensuring semantic
consistency and optimal performance.
Migration Support: Collaborate with data architects, ETL developers, and business
analysts to define source-to-target mappings. Support the creation of migration
blueprints and data lineage documentation. Validate migrated data against target models
to ensure accuracy and completeness.
Governance & Standards: Ensure data modeling practices adhere to enterprise data
governance policies. Maintain metadata repositories and contribute to data cataloging
efforts. Participate in model reviews and approval processes with architecture and
governance teams.
Stakeholder Engagement: Work closely with business SMEs to understand data
requirements and usage patterns. Translate business needs into scalable and
maintainable data models. Provide guidance and training to technical teams on model
usage and interpretation.
Required Skills & Experience:
Proven experience in data modeling for large-scale data migration or transformation
programs.
Strong knowledge of data modeling tools (e.g., Erwin)
Expertise in relational, dimensional, and NoSQL modeling techniques.
Familiarity with Informatica, or other data integration platforms is a plus.
Experience with banking or financial services data domains is highly desirable.
Understanding of data governance, metadata management, and data quality
principles.
Excellent communication and documentation skills.
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