Enterprise Data Modeller

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Rapsys Technologies Pte Ltd in Singapore is seeking an experienced Enterprise Data Modeller to strengthen our data architecture for financial services. You will design and refine conceptual, logical, and physical data models and collaborate with business and technology teams to translate complex requirements into scalable enterprise models.

The role demands 6–8 years of banking data modelling experience, hands-on modelling skills, and a strong understanding of data structures, governance, and

Qualifications

• 6–8 years of enterprise data modelling experience, preferably within banking or financial services.
• Strong hands‑on experience developing conceptual, logical,and physical data models.
• Demonstrated experience modelling data within finance, risk,regulatory reporting, or related banking domains.
• Strong understanding of banking data structures, businessconcepts, and data relationships.
• Experience working with enterprise data modelling tools; ER/Studioexperience is highly desirable.
• Exposure to industry-standard banking or financial servicesdata models and the ability to adapt industry models to enterpriserequirements.
• Experience supporting regulatory reporting andtranslating regulatory or reporting requirements into data models.
• Knowledge of enterprise data architecture, data governance,metadata management, data lineage, and data quality principles.
• Ability to analyse complex source systems and datasets andtranslate them into standardised enterprise models.
• Strong stakeholder management and communication skills, withthe ability to work effectively across business and technology teams.
• Experience working in large, complex, global organisations andacross geographically distributed teams.

Skills

Data modelling

Banking domain knowledge

Stakeholder management

Analytical thinking

Data quality

Documentation

Tools

ER/Studio

Job description

We're Hiring: Enterprise Data Modeller!

We are looking for a highly skilled and experienced Enterprise Data Modeller to join our team in Singapore. The ideal candidate will have a strong background in data modeling, database design, and analytics with a proven track record of enhancing data architecture to meet business needs.

Location:

Singapore, Singapore

Work Mode:

Work from Office

Role:

Enterprise Data Modeller

What You'll Do:

Required Experience and Skills

• 6–8 years of enterprise data modelling experience, preferably within banking or financial services.
• Strong hands‑on experience developing conceptual, logical,and physical data models.
• Demonstrated experience modelling data within finance, risk,regulatory reporting, or related banking domains.
• Strong understanding of banking data structures, businessconcepts, and data relationships.
• Experience working with enterprise data modelling tools; ER/Studioexperience is highly desirable.
• Exposure to industry-standard banking or financial servicesdata models and the ability to adapt industry models to enterpriserequirements.
• Experience supporting regulatory reporting andtranslating regulatory or reporting requirements into data models.
• Knowledge of enterprise data architecture, data governance,metadata management, data lineage, and data quality principles.
• Ability to analyse complex source systems and datasets andtranslate them into standardised enterprise models.
• Strong stakeholder management and communication skills, withthe ability to work effectively across business and technology teams.
• Experience working in large, complex, global organisations andacross geographically distributed teams.

Preferred Qualifications

• Experience with banking regulatory reporting frameworks,including exposure to MAS610.
• Experience establishing or implementing enterprise-wide datamodelling standards and governance.
• Experience with Silver-layer, curated, canonical, or enterprisedata models within modern data platforms.
• Familiarity with data warehouse, data lake, lakehouse, andanalytical data architectures.
• Exposure to large-scale banking data transformation orregulatory change programmes.
• Experience contributing to global data architecture or datamanagement initiatives.

Key Competencies

• Enterprise and strategic thinking
• Strong analytical and data modelling capability
• Banking, finance, and risk domain knowledge
• Attention to detail and data quality
• Stakeholder engagement and facilitation
• Ability to simplify complex data requirements
• Strong documentation and governance discipline
• Collaborative approach across global and cross-functional teams