Strategic Data Architect - Banking (Hybrid London)

Strategic Data Architect - Banking (Hybrid London)

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
Capital Resourcing Group

At a Glance

  • Tasks: Shape data architecture and collaborate with senior stakeholders in a global banking environment.
  • Company: Global Bank in London with a focus on innovation and transformation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team driving large-scale transformation across EMEA.
  • Why this job: Make a significant impact on data management and governance across the organisation.
  • Qualifications: Experience in data architecture and strong collaboration skills.

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

Global Bank in London is seeking an experienced Data Architect to own the current and target-state data architecture across business domains.

The role is business-facing, collaborating with senior stakeholders to shape how data is managed and governed across the organisation.

You will define data domains, flows and data models, support data governance frameworks, and contribute to large-scale transformation programmes across EMEA.

Hybrid work with 2 days in London office.

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Strategic Data Architect - Banking (Hybrid London) employer: Capital Resourcing Group

At Capital Resourcing Group, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our Milton Keynes location offers a vibrant environment where employees can thrive, with opportunities for professional growth and development, alongside competitive benefits. Join us to make a meaningful impact in shaping business strategies while enjoying the flexibility of a hybrid working model.

Capital Resourcing Group

Contact Details:

Capital Resourcing Group Recruitment Team

We think you need these skills to ace Strategic Data Architect - Banking (Hybrid London)

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Engineering