Lead Data Architect – Enterprise Data & Snowflake (UK On-site)

Lead Data Architect – Enterprise Data & Snowflake (UK On-site)

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Talent Sketchers

At a Glance

  • Tasks: Design data architectures and lead data transformation initiatives with a focus on collaboration.
  • Company: Talent Sketchers, a forward-thinking company based in Oxford.
  • Benefits: Competitive pay, hands-on experience, and the chance to work on impactful projects.
  • Other info: Project duration of 3 to 6 months with immediate start preferred.
  • Why this job: Join a dynamic team and shape the future of enterprise data solutions.
  • Qualifications: 10+ years in data architecture and strong stakeholder collaboration skills.

The predicted salary is between 70000 - 90000 Β£ per year.

Talent Sketchers is seeking an experienced Data Architect in Oxford, UK, for a project lasting 3 to 6 months. The ideal candidate will have over 10 years of hands-on experience in enterprise data architecture, data governance, and scalable solutions.

Your role will involve:

  • Designing data architectures
  • Collaborating with stakeholders
  • Delivering data transformation initiatives

Immediate joiners are preferred.

Lead Data Architect – Enterprise Data & Snowflake (UK On-site) employer: Talent Sketchers

Talent Sketchers is an excellent employer, offering a dynamic work environment in Oxford where innovation and collaboration thrive. With a strong focus on employee growth, we provide opportunities for professional development and hands-on experience in cutting-edge data architecture projects. Our supportive culture encourages creativity and teamwork, making it a rewarding place for those looking to make a meaningful impact in the field of data transformation.

Talent Sketchers

Contact Details:

Talent Sketchers Recruitment Team

We think you need these skills to ace Lead Data Architect – Enterprise Data & Snowflake (UK On-site)

Communication Skills
SQL
Problem-Solving Skills
Python
Data Engineering
Data Governance
Data Pipeline Development