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Join us as a Data Modeller at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions.
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:
Partner with business stakeholders to understand their data needs and their desired functionality for the data product. Translate these requirements into clear data modelling specifications.
Designs and implements high-quality data models that optimize data access, storage, and analysis as well as ensuring alignment to BCDM.
Creates comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines.
Collaborates with data engineers to test and validate the data models.
Obtains sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models.
Continuously monitor and optimise the performance of the models and data solutions to ensure efficient data retrieval & processing.
Collaborates with data engineers to translate into physical data models and throughout the development lifecycle.
Manages the business as usual ‘BAU’ data model and solution covering enhancements and changes.
Helps DSA in defining the legacy estate migration and decommissioning roadmap for the assigned BUK data domain.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.