Lead Data Modeler: Enterprise Data Architecture & Cloud in Nottingham

Lead Data Modeler: Enterprise Data Architecture & Cloud in Nottingham

Nottingham Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
UST

At a Glance

  • Tasks: Design data models and collaborate on enterprise data architecture projects.
  • Company: UST, a leader in innovative data solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on best practices and data governance.
  • Why this job: Shape the future of data architecture and drive impactful transformation initiatives.
  • Qualifications: Extensive experience in enterprise data modeling and proficiency in data architecture tools.

The predicted salary is between 60000 - 80000 Β£ per year.

UST is looking for an experienced Data Modeler to shape enterprise data architecture in Nottingham. This hybrid role will involve designing data models for modern data platforms, collaborating with cross-functional teams, and driving best practices for data governance.

The ideal candidate will have extensive experience in enterprise data modeling and be proficient in data architecture tools. This position offers the chance to work on large-scale data transformation initiatives.

Lead Data Modeler: Enterprise Data Architecture & Cloud in Nottingham employer: UST

UST is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant city of Nottingham. Employees benefit from a hybrid working model, competitive remuneration, and ample opportunities for professional growth through engaging projects in enterprise data architecture. Join us to be part of a forward-thinking team dedicated to driving impactful data transformation initiatives.

UST

Contact Details:

UST Recruitment Team

We think you need these skills to ace Lead Data Modeler: Enterprise Data Architecture & Cloud in Nottingham

Data Modeling
Enterprise Data Architecture
Data Governance
Collaboration
Data Architecture Tools
Large-Scale Data Transformation
Cross-Functional Teamwork