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Permanent

Enterprise Data Architect

Knutsford
money-bag £125,000-150,000 per annum
Posted Yesterday

Overview

Join Barclays as an Enterprise Data Architect. The role defines, directs and governs the bank’s target data architecture (including shared data environment, data model and standards) in support of business strategy, ensuring data is accurate, secure and accessible to meet stakeholder needs.Location: Knutsford/Glasgow/Northampton.Purpose of the role: To define, direct and govern the bank’s target data architecture (including shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet stakeholder needs.Responsibilities

Development of the bank’s data architecture strategy, translating bank-wide goals into a target data architecture and transition plan.Collaborate with stakeholders, including data operations, engineers and analysts, to provide SME guidance and promote standardized, safe, and value-driven data usage.Develop and maintain data architecture governance, standards and protection policies for data models, authoritative data stores, and data capabilities to support data quality, accuracy and consistency, and the protection of sensitive information.Manage alignment of projects to the target data architecture by providing guidance, data solutions and monitoring progress.Define reusable data capabilities, assets, tools and technologies to connect disparate data sources, optimise storage and provide seamless data access.Custodianship of an overarching data model directing how data is structured within the bank’s resources (databases, interfaces, reports).Monitor regulatory standards and industry developments for potential impact on operations, controls and application portfolio.Identify and select best-in-class data technologies and assess ongoing compliance with SLAs and quality standards.Qualifications and Skills

Experience developing architectural solutions and patterns using modern data engineering approaches (e.g., data lake, events, API).Ability to logically model financial data.Excellent written communication with experience using structured design languages (e.g., UML, Archimate or equivalent).Good stakeholder management skills up to C-level executives.Understanding of data governance and data management processes and best practices.Seniority, Employment Type and Function

Seniority level: Mid-Senior level.Employment type: Full-time.Job function: Engineering and Information Technology.Industries: Banking and Financial Services.Additional Notes

All colleagues are expected to demonstrate Barclays Values (Respect, Integrity, Service, Excellence and Stewardship) and the Barclays Mindset (Empower, Challenge and ..... full job details .....

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