
Data Modeler
2 weeks ago
About the Role
We are looking for an experienced
Data Modeller
to lead the consolidation and migration of complex, large-scale data environments. This role involves working across legacy platforms, ensuring semantic consistency, and enabling accurate, high-performance target models.
Key Responsibilities
1. Data Model Consolidation
- Assess and document legacy data models across various platforms.
- Map legacy structures to modern target models with a focus on performance and semantic alignment.
2. Migration Support
- Partner with architects, ETL teams, and business analysts to design source-to-target mappings.
- Contribute to migration blueprints, data lineage, and validation processes.
- Ensure migrated datasets align fully with the target model.
3. Governance & Standards
- Apply enterprise data governance best practices.
- Maintain metadata repositories and support data catalog initiatives.
- Participate in model review and approval workflows.
4. Stakeholder Engagement
- Collaborate with business SMEs to translate requirements into scalable, maintainable data models.
- Provide model usage guidance and training to technical teams.
Required Skills & Experience
- Proven track record in
data modeling
for large-scale migration or transformation programs. - Expertise with
data modeling tools
(e.g., Erwin). - Strong grasp of
relational
,
dimensional
, and
NoSQL
modeling techniques. - Familiarity with
Informatica
or similar integration tools (advantageous). - Banking/financial services domain experience (preferred).
- Understanding of
data governance
,
metadata management
, and
data quality
principles. - Excellent communication and documentation skills.
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