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Join us at Barclays as a Senior Data Architect, where you will define, direct, and govern the bank’s target data architecture, including shared data environments, enterprise data models, and data standards in alignment with business strategy. This role ensures that data is accurate, secure, and accessible to meet the evolving needs of internal and external stakeholders.
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:
Advanced experience in data architecture or enterprise data modelling, ideally within a major bank or investment institution
Deep knowledge of banking products, risk frameworks, regulatory data obligations, and financial markets data
Proven expertise in data modelling tools and methodologies, with a track record of scaling models across global business functions
Proficiency with AWS cloud services, including Lake Formation and Data Lake implementation
Scripting capabilities in Python or Shell for data validation and automation
Familiarity with database systems: Relational: Oracle, SQL Server, PostgreSQL, MySQL Columnar, Amazon Redshift, Snowflake NoSQL, MongoDB and Cassandra
What we offer:
Cycle or run to work? We’ve got everything you need – from cycle hire and parking areas to new showering and changing facilities
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Our Wellness Suite includes a well-equipped gym and exercise studios, and provides personal training sessions and massage therapy
Our new trading floors enhance communication, integrate sustainability, and support health and wellbeing through innovative design and British-sourced furniture