1. Data Architecture and Modelling+ Design and maintain conceptual, logical, and physical data models for enterprise and domain-specific use cases.+ Apply industry best practices to model structured, semi-structured, and unstructured data.+ Define and manage metadata, master data, and reference data structures.2. Data Lake and Medallion Architecture+ Architect and optimise data lake environments (bronze, silver, gold layers) to support ingestion, curation, and consumption.+ Ensure proper data lineage, quality, and governance across the medallion layers.+ Work with engineering teams to implement scalable transformation pipelines.3. Data Integration and Transformation+ Map data flows from source systems to target models, ensuring accuracy and consistency.+ Define transformation logic for ingestion, cleansing, enrichment, and harmonisation.+ Collaborate with data engineers on implementation of ETL/ELT processes.4. Banking Domain Expertise+ Understand key banking and financial services data domains (eg, customer, payments, risk, compliance, transactions).+ Ensure designs meet regulatory and compliance standards (BCBS 239, GDPR, etc.).+ Support business stakeholders with data-driven insights and fit-for-purpose designs.

We are seeking an experienced Data Architect/Data Modeller with a strong background in enterprise data modelling, data mapping, and data transformation. The ideal candidate will have hands-on expertise in medallion data architecture, data lakes, and large-scale data integration within complex banking environments. This role will be critical in shaping and governing our data ecosystem to ensure scalability, compliance, and business value delivery., 1. Proven experience as a Data Architect/Data Modeller in banking or financial services.2. Strong expertise in data modelling methodologies (3NF, dimensional/star, Data Vault, etc.).3. Solid hands-on knowledge of data mapping between source and target systems.4. Practical experience with data lakehouse/medallion architectures and modern big data platforms (Databricks, Azure).5. Deep understanding of data transformations in large-scale, regulated environments.6. Strong SQL and data analysis skills, with ability to validate transformations.7. Familiarity with data governance, lineage, cataloguing, and security frameworks.8. Excellent communication skills to engage with business, data engineers, and stakeholders.

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