Enterprise Data Architect

Barclays Bank Plc; Hardingstone; On-site; GBP 80,000 - 100,000; Full time

Job summary

A major financial institution in the UK is seeking an experienced Enterprise Data Architect to define and govern data architecture. Responsibilities include developing data strategies, collaborating with stakeholders, and ensuring data quality and security. Ideal candidates will have experience in data engineering approaches and excellent communication skills. Join us to drive innovation in data management at Barclays.

Qualifications

• Experience with latest data engineering approaches (data lake, events, API).
• Good stakeholder management skills up to C-level execs.
• Understanding of data governance and management processes.

Responsibilities

• Develop data architecture strategy and transition plan.
• Collaborate with stakeholders to promote standardised data usage.
• Define reusable data capabilities and assets.

Skills

Developing architectural solutions

Ability to logically model financial data

Excellent written communication skills

Tools

UML

Archimate

Job description

Overview

To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.

Responsibilities

• Development of the bank's 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 bank's 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 bank's physical data resources, e.g. database, interfaces and reports.
• Monitoring applicable regulatory standards and industry developments for potential impact on the bank's 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.

Leadership and expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
• If managing a team, define jobs and responsibilities, plan for the department's future needs and operations, counsel employees on performance and contribute to pay decisions/changes. May also lead specialists to influence department operations, balancing short and long term goals with budgets and schedules.
• If the position has leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• For an individual contributor, be a subject matter expert within own discipline and guide technical direction. Lead collaborative, multi-year assignments and guide team members through structured assignments; identify the need for other areas of specialisation to complete assignments. Train, guide and coach less experienced specialists and provide information affecting long-term profits, organisational risks and strategic decisions.
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work for business-aligned support to keep up to speed with business activity and strategies.
• Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave. Embark on a transformative journey as an Enterprise Data Architect. At Barclays, our vision is clear: to define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.

Qualifications and skills

• To be successful as an Enterprise Data Architect, you should have experience with:
  • Developing architectural solutions and patterns using latest data engineering approaches, for example data lake, events, API
  • Ability to logically model financial data
  • Excellent written communications skills with experience using structured design languages, for example UML, Archimate or equivalent
• Some other highly valued skills may include:
  • Good stakeholder management skills up to C-level execs
  • Understanding of data governance and data management processes and best practice
• You may be assessed on the 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