Senior Lakehouse Architect for AI-Driven Enterprise Data

Senior Lakehouse Architect for AI-Driven Enterprise Data

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

At a Glance

  • Tasks: Lead the design of modern lakehouse architectures and implement cloud-native solutions.
  • Company: TechClover, a forward-thinking tech company focused on data innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with C-level stakeholders in a dynamic and innovative environment.
  • Why this job: Shape enterprise data strategy and work with cutting-edge AI technologies.
  • Qualifications: Experience in data architecture and cloud platforms like Azure, AWS, or GCP.

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

TechClover is seeking a Principal Data Architect to lead the design and implementation of modern lakehouse architectures built on the Databricks platform. You will work directly with C-level stakeholders, shaping enterprise data strategy and architecting scalable, cloud-native solutions powered by Databricks.

You will oversee end-to-end architecture and delivery across Azure, AWS, and GCP, applying Delta Lake, Unity Catalog, DLT, and Databricks Workflows to support BI, AI, ML, and Generative AI.

Senior Lakehouse Architect for AI-Driven Enterprise Data employer: TechClover

Join a fast-growing global Data & AI consulting firm that champions innovation and transformation in the digital supply chain space. With a collaborative work culture and a focus on employee growth, you'll have the opportunity to lead impactful enterprise-wide initiatives while working alongside industry leaders. This role not only offers competitive benefits but also positions you at the forefront of cutting-edge technology, ensuring your career progresses in a dynamic environment.

T

Contact Details:

TechClover Recruitment Team

We think you need these skills to ace Senior Lakehouse Architect for AI-Driven Enterprise Data

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