Senior Data Modeler

As a
Senior Data Modeller
, you will play a key role in designing, governing, and optimizing the core data models within our Data & Analytics platform. You will lead the development of scalable, modular, and business-aligned models that serve as the foundation for analytics and reporting across multiple regions and clients. Collaborating closely with data engineering, BI, and business stakeholders, you will ensure that business logic is accurately embedded in our models, maintain semantic consistency, and support high-performance, secure, and compliant data structures.

Your expertise will help translate complex business requirements into robust technical models that enable efficient decision-making and insight generation. Operating in the B2B software and services space, you will contribute to delivering mission-critical solutions for large-scale clients across the APAC, UK, and globally, in line with our commitment to innovation and excellence.

In Addition To This You Will

• Support initiatives run by the GSTF and demonstrate our company values by providing a clear commitment to environmental and social responsibility.
• Contribute through identifying/proposing local sustainable practices and ideas in accordance with our Sustainability Charter.
• Utilize our sustainability app by taking part in challenges and improving behaviors to be more sustainable.

Roles And Responsibilities

• Design, implement, and maintain scalable and modular data models for Snowflake, incorporating region and country-specific extensions without impacting the global core.
• Define, document, and approve changes to the core enterprise data model, embedding business logic into model structures.
• Lead data modelling workshops with stakeholders to gather requirements and ensure alignment between business, engineering, and BI teams.
• Work closely with developers, assigning modelling-related tasks, providing technical guidance, and reviewing outputs.
• Optimise models for performance, data quality, and governance compliance.
• Collaborate with BI teams to ensure semantic consistency and enable self-service analytics.
• Ensure adherence to data security, RBAC, and compliance best practices.
• Use DevOps tools such as Git/Bitbucket for version control of data models and related artefacts.
• Maintain documentation, metadata, and data lineage for all models.
• Preferred: Leverage tools like Matillion or equivalent ETL/ELT tools for model integration workflows.
• Fulfil any additional duties reasonably requested by your direct line leader.

Skills

• Proven expertise in designing enterprise-level data models for cloud data platforms, preferably Snowflake.
• Strong understanding of data warehouse design patterns (dimensional, Data Vault, and other modelling approaches).
• Ability to embed business logic into models and translate functional requirements into technical architecture.
• Experience managing and approving changes to the core data model, ensuring scalability, semantic consistency, and reusability.
• Proficiency in SQL with experience in Snowflake-specific features (streams, tasks, dynamic tables).
• Familiarity with ELT/ETL tools such as Matillion, DBT, Talend, or Azure Data Factory.
• Experience with DevOps practices, including Git/Bitbucket for version control of modelling artefacts.
• Knowledge of metadata management, data lineage, and data cataloguing tools.
• Strong understanding of data privacy, governance, and RBAC best practices.
• Excellent communication and stakeholder engagement skills, including leading workshops.
• Can-do attitude with a focus on delivering excellence.
• Optimistic outlook with common sense and a sense of humour.
• High levels of energy, sound judgment, and determination with a sense of urgency.
• Exceptional attention to detail.
• Excellent relationship management and interpersonal skills.
• Open-minded consultative approach.
• Ability to give and receive positive and constructive feedback.
• Creative problem-solving skills.