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Barclays

Wealth management services for UK clients

Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Data modelling and data architecture design, including partnering with platform teams to influence and shape solutions at the solution and integration level.
  • Data governance and data stewardship.
  • Data integration and platform architecture.
  • Standardised architecture governance.

Responsibilities

  • Develop the bank’s data architecture strategy, including translating bank-wide goals and objectives into target data architecture and a transition plan.
  • Collaborate with data operations, engineers, analysts, and other stakeholders to provide data architecture expertise and promote standardised, consistent, 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.
  • Align projects to the target data architecture by providing guidance, data solutions, and progress monitoring.
  • Define shared reusable data capabilities, assets, tools, and technologies to connect disparate data sources, optimise data storage, and provide seamless data access.
  • Maintain an overarching data model defining how data is logically and physically structured across databases, interfaces, and reports.
  • Monitor regulatory standards and industry developments for potential impacts on operations, controls, and the application portfolio.
  • Identify and select data technologies and assess compliance with service-level agreements and quality standards.
  • Define enterprise-wide data models and establish architectural standards.
  • Support adoption of data governance frameworks aligned with regulatory requirements and business needs.
  • Develop target-state data architectures and guide teams in scalable approaches to data stewardship, integration, and governance.
  • Provide guidance on data architecture patterns, data flows, and platform capabilities.
  • Advise key stakeholders and senior management on functional and cross-functional impact and alignment.
  • Manage and mitigate risks through assessment in support of control and governance objectives.
  • Collaborate across business and technology areas to support business strategies.
  • Create solutions by analysing and selecting among complex alternatives, defining problems, and developing innovative solutions.
  • Apply research outcomes to problem-solving processes.
  • Build and maintain stakeholder partnerships to accomplish business objectives.

Desired Qualifications

  • Analytics, artificial intelligence, and machine learning architecture.
  • Cloud data platforms.
  • Master data management and reference data.

About the Company

Barclays

Wealth management services for UK clients

Barclays Wealth Management helps UK clients manage and grow their wealth through a regional network of financial experts. It delivers personalized advice and services—such as investment management, financial planning, and estate and trust planning—tailored to each client’s goals, risk tolerance, and time horizon, with support from Barclays’ broader resources. What sets it apart is the combination of local, face-to-face guidance with the scale and range of a large UK bank, offering access to a wide array of financial products and research. The goal is to help clients preserve and grow their wealth over the long term by providing comprehensive, advisor-led guidance aligned with individual financial objectives.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1690

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