Data Architect

As a Senior Data Architect, you will be instrumental in shaping the banks enterprise data landscapesupporting teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. You will also serve as the go-to expert and trusted advisor on what good looks like in data architecture, helping to set high standards and drive continuous improvement across the organization. This role is ideal for an experienced data professional with deep technical expertise, strong solution architecture skills, and a proven ability to influence design decisions across both business and technology teams.

Responsibilities

1. Enterprise Data Architecture & Solution Design

• Support teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions.
• Serve as the go-to person for data architecture best practices and standards, helping to define and communicate what good looks like to ensure consistency and quality.
• Lead and contribute to solution architecture for key programs, ensuring architectural decisions are well-documented, justified, and aligned to enterprise principles.
• Work with engineering and platform teams to design end-to-end data flows, integration patterns, data processing pipelines, and storage strategies across structured and unstructured data.
• Drive the application of modern data architecture principles including event-driven architecture, data mesh, streaming, and decoupled data services.

2. Data Modelling and Semantics

• Provide hands-on leadership in data modelling efforts, including the occasional creation and stewardship of conceptual, logical, and physical models that support enterprise data domains.
• Partner with product and engineering teams to ensure data models are fit-for-purpose, extensible, and aligned with enterprise vocabularies and semantics.
• Support modelling use cases across regulatory, operational, and analytical data assets.

3. Architecture Standards & Frameworks

• Define and continuously improve data architecture standards, patterns, and reference architectures that support consistency and interoperability across platforms.
• Embed standards into engineering workflows and tooling to encourage automation and reduce delivery friction.
• Measure and report on adoption of architectural principles using architecture KPIs and compliance metrics.

4. Leadership, Collaboration & Strategy

• Act as a technical advisor and architectural leader across initiatives mentoring junior architects and supporting federated architecture teams in delivery.
• Build strong partnerships with senior stakeholders across the business, CDIO, engineering, and infrastructure teams to ensure alignment and adoption of architecture strategy.
• Stay current with industry trends, regulatory changes, and emerging technologies, advising on their potential impact and application.

Skills

• Extensive experience in data architecture, data engineering, or enterprise architecture, preferably within a global financial institution.
• Deep understanding of data platforms, integration technologies, and architectural patterns for real-time and batch processing.
• Proficiency with data architecture tools such as Sparx Enterprise Architect, ERwin, or similar.
• Experience designing solutions in cloud and hybrid environments (e.g. GCP, AWS, or Azure), with knowledge of associated data services.
• Hands-on experience with data modelling, semantic layer design, and metadata-driven architecture approaches.
• Strong grasp of data governance, privacy, security, and regulatory complianceespecially as they intersect with architectural decision-making.
• Strategic mindset, with the ability to connect architectural goals to business value, and communicate effectively with technical and non-technical stakeholders.
• Experience working across business domains including Risk, Finance, Treasury, or Front Office functions.