Job Information
HSBC Senior Data Modeler in Kowloon City, Hong Kong
Senior Data Modeler
Brand: HSBC
Area of Interest:
Location:
Kowloon City, Kowloon, HK
Work style: Office Worker
Date: 31 Mar 2026
GCB 4
We are currently seeking a high calibre professional to join our team as a Senior Data Modeler.
Our technology teams work closely with HSBC’s global businesses to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply and securely.
Working within CTO Data (CTOd) Architecture team, the Senior Data Modeller takes responsibility for the delivery of Data Modelling outcomes across the Reference Data Sub Value Stream (SVS), most notably the data design of the Customer Data Mastery Service (CDMS) strategic application. The job holder leads the design and development of Data Models, which are aligned with group standards, IT and business strategy, to meet business objectives and satisfy all relevant regulatory and operational risk controls.
In this role you will:
Set the Reference Data SVS data modelling strategy and standards
Define modelling principles (conceptual/logical/physical), naming conventions, data types, and patterns, aligned to enterprise modelling standards
Own the delivery of CDMS data models
Functional management of a team of between 5-10 data modellers
Lead creation and maintenance of conceptual and logical models for the customer/party domain, ensure alignment to enterprise modelling standards
Translate business needs into data structures
Partner with Product Owners, SMEs, and analysts to capture requirements and turn them into entities, attributes, relationships, and rules. Clarify definitions and resolve ambiguity
Ensure data quality and integrity by design
Specify keys, constraints, validation rules, and referential integrity. Design for data quality controls and support reconciliation/audit needs
Lead modelling reviews and governance forums
Run design authorities / model review boards; approve changes and manage exceptions. Ensure models meet architectural, regulatory, and operational requirements
Collaborate across engineering and architecture
Work closely with our engineers, solution architects, and platform teams to ensure models are implementable and maintainable
Manage change and impact analysis
Assess downstream impacts of model changes (reports, interfaces, controls, regulatory outputs). Plan migrations, deprecations, and backward compatibility
To be successful you will need:
Education
Degree in Computer Science, Information Systems, Engineering, Mathematics, or similar
Equivalent experience is often accepted where formal education isn’t available
Experience
8–12+ years in data management / data modelling / data architecture roles
Proven leadership on large-scale programmes (multi-system, multi-team, regulated environments)
Hands-on delivery across conceptual, logical, and physical modelling
Core technical qualifications / skills
Strong command of modelling methods and patterns:
3NF, dimensional, Data Vault, and when to use each
Deep understanding of:
Relational design, normalisation/denormalisation trade-offs
Master/reference data, metadata, lineage
Data quality and integrity controls (keys, constraints, validation rules)
Platform awareness:
SQL and NoSQL databased technologies
Basic understanding of streaming/event schemas (e.g., Kafka) and API data contracts
Tooling
Data modelling tools such as ERwin, ER/Studio, Visual Paradigm, or equivalent
Familiarity with data catalogues/glossaries (e.g., Collibra, Alation) is valued
Version control and delivery discipline (e.g., Git, CI/CD concepts for data where applicable).
Business and domain capability
Ability to translate business requirements into clear data definitions and structures.
Experience in at least one banking domain, examples:
Customer, Accounts, Payments, Credit/Risk, Financial Crime, Treasury, Regulatory reporting.
Leadership and ways of working
Evidence of leading:
Model governance/reviews, design authorities, and stakeholder sign-off
Cross-team alignment and conflict resolution on definitions
Strong communication skills: can explain trade-offs to both engineers and non-technical stakeholders.
Comfortable in Agile delivery (backlog refinement, definition of done, iterative modelling).
Opening up a world of opportunity
http://www.hsbc.com/careers
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Issued by The Hongkong and Shanghai Banking Corporation Limited.
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