Data Modelling VP: Enterprise Data Architect & Strategist in Northampton

Data Modelling VP: Enterprise Data Architect & Strategist in Northampton

Northampton Full-Time 72000 - 88000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Lead enterprise data architecture and define scalable data models for financial ecosystems.
  • Company: Join Barclays, a leading global financial services provider.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and governance.
  • Why this job: Shape the future of data in finance and drive impactful change.
  • Qualifications: Experience in data modelling and strong strategic thinking skills.

The predicted salary is between 72000 - 88000 £ per year.

Barclays is seeking a Data Modelling VP to define and lead enterprise data architectures across multiple domains.

You will set modelling direction, ensure regulatory alignment, and translate business needs into scalable data models for large financial ecosystems.

You will partner with Product, Engineering, Architecture, and Controls to deliver robust, reusable models ready for enterprise-scale deployment and governance.

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Data Modelling VP: Enterprise Data Architect & Strategist in Northampton employer: 慨正橡扯

At Third Bridge, we are not just offering a job; we are providing a career launchpad in a vibrant and fast-paced environment. With a strong focus on employee growth, our Client Services Associate role allows you to develop essential skills while working with top-tier clients, all within a supportive culture that values work-life balance and personal development. Join us to accelerate your career and enjoy comprehensive benefits, including generous vacation days and the flexibility to work from anywhere for a month each year.

Contact Details:

慨正橡扯 Recruitment Team

We think you need these skills to ace Data Modelling VP: Enterprise Data Architect & Strategist in Northampton

Data Modelling
Enterprise Architecture
Regulatory Compliance
Scalable Data Models
Collaboration
Product Management
Engineering Principles