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Join us as a Data Designer, at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
Job Responsibility
Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan
Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage
Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information
Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress
Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access
Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports
Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio
Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards
Requirements
Experience designing data models for Data Warehouses, Data Products, Data Lakes, or Enterprise Data Platforms (EDP)
Strong SQL skills with Data Analytical Skills
Experience validating data model implementations with development teams
Strong understanding of Data Architecture, data governance, data lineage, metadata management, reference data, and data quality principles
Knowledge of industry-standard modelling techniques such as 3NF, Dimensional Modelling, Data Vault, Canonical Models, and Domain-Driven Design
Ability to collaborate with architects, analysts, technology teams, and business stakeholders to align data models with enterprise standards
Proven ability to translate complex business requirements into scalable data structures, data entities, relationships, and business data definitions
Nice to have
Experience working within the Banking, Financial Services, Financial Crime, Risk, Regulatory, or Compliance domains, with a strong understanding of financial data concepts
Experience in designing and maintaining Conceptual, Logical, and Physical Data Models for enterprise applications and data platforms
Exposure to Data Control Frameworks, and Regulatory Data Management