Senior Data Modelling Analyst - Data Modelling & Architecture (Bangkok)

About the Role

Brand New Day is implementing a BIRD-aligned semantic layer to standardize data for Finance, Risk, Balance Sheet Management and Regulatory reporting. The foundation is currently being established by an Information architect and our Data engineers. As a Senior Data Modelling Analyst - Data Modelling & Architecture you will turn fragmented and ambiguous business input into a coherent, decision-ready data model and engineering-ready mappings. You will take ownership of the logical data model (BIRD-aligned) and ensure consistent definitions, clear lineage, and a scalable structure across domains, with the ambition to grow into a hands-on Data Architect.

Responsibilities

• Run focused workshops with Finance, Risk, and BSM to turn ambiguous requirements into clear definitions and decisions
• Translate business concepts into structured semantic models (entities, attributes, relationships, grain)
• Produce end-to-end mapping logic (source → BIRD → reporting), including transformations, lineage, and edge cases
• Maintain and evolve the logical data model, ensuring consistency across domains and over time
• Challenge unclear or conflicting requirements and drive resolution towards a single agreed definition
• Collaborate with Data Engineers to ensure mappings are feasible and implementation-ready
• Document all outputs in a precise, version-controlled, and reusable format

What You Will Deliver

• A complete, BIRD-aligned semantic layer tailored to Brand New Day (entities, definitions, relationships)
• Engineering-ready mapping specifications from source systems to semantic layer and onwards to regulatory outputs
• Clear transformation logic, including business rules, aggregations, and handling of edge cases
• End-to-end data lineage (source → semantic → reporting)
• Consistent data definitions, naming standards, and metadata documentation
• Validation and reconciliation logic to ensure correctness and auditability
• Practical guidelines and documentation that enable engineers and future maintainers to extend the model

Success in the first 3 months

• One priority domain fully defined and mapped (source → BIRD → reporting), with stakeholder agreement
• A working version of the semantic model that is consistent, version-controlled, and actively used by engineers
• Mapping specifications that engineers can implement without reinterpretation
• Key ambiguities in Finance and Risk definitions resolved and documented
• An established way of working for workshops, decision-making, and documentation
• Initial trust from stakeholders that the model reflects business reality and supports regulatory requirements

What You Will Receive From Us

• A competitive salary
• A provident fund
• Medical and life insurance coverage
• Fourteen days of paid leave, excluding Thai public holidays
• Weekly lunch and sport activities
• Room to develop yourself, including training budget and autonomy to improve how we work
• A high-ownership role in a fintech, where banking and payments are mission-critical
• Close collaboration with data, engineering and business teams across Bangkok and Amsterdam
• A Bangkok-based role with structured travel to Amsterdam for alignment and team connection
• Compensation and local benefits to be discussed

Qualifications

• Must-have Qualities
• Strong hands-on experience in data modelling and data mapping within a regulated (preferably banking) environment (minimum 6 years)
• The ability to turn ambiguous requirements into precise, testable definitions and mappings
• Proven experience with semantic modelling, data lineage, and metadata management
• Ownership mindset: drives decisions and maintains consistency of the logical data model
• Strong communication skills with Finance and Risk stakeholders; able to challenge and align
• Sufficient SQL skills to validate data and mappings independently
• Experience working across business and engineering teams, producing implementation-ready specifications
• Familiarity with regulatory data models (e.g., BIRD, FINREP, COREP, AnaCredit)
• Nice-to-have Qualities
• Experience with medallion architectures (Bronze / Silver / Gold)
• Experience with Databricks, dbt, or similar modern data platforms
• Experience with data modelling tools and version-controlled documentation (e.g., Git, Collibra, Erwin)
• Exposure to data architecture concepts and interest in growing into a data architect role
• Experience in smaller or scaling organisations where structure needs to be built pragmatically

Who you are

You are a structured, analytical and decision-oriented thinker who brings clarity to complex questions. You thrive where precision matters, prefer meaningful work, collaborate easily but take strong ownership, and focus on quality, consistency, and building data foundations that are practical, scalable, and actually used.