Senior Data Modeler

Capgemini Singapore PTE. LTD.
Job Responsibilities
• \tPartner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
• \tDesign and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
• \tTranslate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
• \tImplementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
• \tCollaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
• \tEnsure data models adhere to data governance, data quality, and metadata management standards across banking domains.
• \tProvide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
• \tSupport data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
Job Requirements
• \tBachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree is nice to have.
• \t7-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
• \tBasic knowledge of data governance (i.e DAMA-DMBOK).
• \tDeep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
• \tProficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
• \tAdvanced SQL skills and strong ability to work with large, complex financial datasets.
• \tSolid understanding of relational and dimensional modelling, financial expertise and data management.
• \tIntermediate understanding of regulatory compliance in the APAC region.
• \tStrong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
• \tPartner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
• \tDesign and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
• \tTranslate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
• \tImplementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
• \tCollaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
• \tEnsure data models adhere to data governance, data quality, and metadata management standards across banking domains.
• \tProvide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
• \tSupport data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
Job Requirements
• \tBachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree is nice to have.
• \t7-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
• \tBasic knowledge of data governance (i.e DAMA-DMBOK).
• \tDeep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
• \tProficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
• \tAdvanced SQL skills and strong ability to work with large, complex financial datasets.
• \tSolid understanding of relational and dimensional modelling, financial expertise and data management.
• \tIntermediate understanding of regulatory compliance in the APAC region.
• \tStrong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
JOB SUMMARY
Senior Data Modeler

Capgemini Singapore PTE. LTD.
Singapore
a day ago
N/A
Full-time
Senior Data Modeler