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Join us as a Data Modeler. At Barclays, we don’t just adapt to the future, we create it. As Data Modeler you will support the organisation, achieve its strategic objectives by the identification of business requirements and solutions that address business problems and opportunities. Purpose of the role: To design, implement, and maintain conceptual, Logical and Physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms.
Job Responsibility:
Analysis and documentation of business requirements to translate them into data models aligned with organisational goals
Development and maintenance of data dictionaries and glossaries to define data elements and their usage
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator
Strategic architecture definition and product selection
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components
Implementation of architectures and Identification, ownership and resolution of design related issues
Definition and documentation of data architectures standards, principles and strategies
Requirements:
Strong Data Modeling Expertise
Ability to design conceptual, logical, and physical data models using standards like 3NF, Dimensional Modeling, and Data Vault
Database Design & SQL Proficiency
Deep understanding of RDBMS, keys, indexing, normalization, SQL DDL/DML, and query optimization
Modeling Tools Proficiency
Experience with tools such as ERwin, ER/Studio, PowerDesigner, or SQL Developer Data Modeler
Data Architecture & Integration Understanding
Knowledge of ETL/ELT flows, source‑to‑target mappings, lineage, and how models fit into the broader architecture
Business Requirements Analysis
Ability to translate functional requirements into robust, traceable data models and entities
Experience of 6+ years
Nice to have:
NoSQL & Semi‑Structured Modeling
Working knowledge of document, key‑value, graph, and modeling JSON/Avro/Parquet schemas
Data Governance & Metadata Tools
Familiarity with data cataloging, lineage, stewardship processes (e.g., Collibra, Alation)
Domain‑Driven Design Concepts
Ability to derive aggregates, bounded contexts, and align models to domain workflows
Performance Optimization & Tuning
Experience with indexing strategies, partitioning, and tuning models for analytical workloads