Databricks Architect: Lead Enterprise Data & AI

Deloitte (UK); Alabama; Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Hybrid working

Competitive compensation

Job summary

Deloitte in London is seeking an experienced Databricks Architect at Senior Manager level to shape enterprise Data & AI architectures for large transformation programmes. You will define technical vision, govern architecture and guide delivery across data engineering, analytics, ML, and Generative AI.

Based in London with hybrid working, you will collaborate with data, cloud, and engineering specialists, establish governance frameworks, ensure secure, scalable solutions, and support business

Qualifications

• Experience designing enterprise-scale Data & AI architectures on Databricks.
• Proven track record leading architecture governance across large programmes.
• Strong cloud and data governance, security and compliance.

Responsibilities

• Lead architecture and technical strategy for Databricks Data & AI transformation programmes.
• Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads.
• Provide architectural governance and design authority across multiple programmes.
• Collaborate with engineering teams to translate architecture into delivery.
• Support business development with solution proposals and estimates.

Skills

Databricks architecture

Data & AI platform

MLOps/LLMOps

Cloud platforms

Enterprise architecture

Stakeholder management

Security & governance

Business strategy alignment

Tools

Databricks

Delta Lake

Unity Catalog

MLflow

Retrieval-Augmented Generation

Job description

Deloitte in London is seeking an experienced Databricks Architect at Senior Manager level to shape enterprise Data & AI architectures for large transformation programmes. You will define technical vision, govern architecture and guide delivery across data engineering, analytics, ML, and Generative AI.

Based in London with hybrid working, you will collaborate with data, cloud, and engineering specialists, establish governance frameworks, ensure secure, scalable solutions, and support business