Databricks Lakehouse Architect: Data & AI Strategy

Tenth Revolution Group; City Of London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Annual performance bonus

Hybrid working model

Private healthcare

Pension scheme

Professional certification support

Job summary

Databricks is seeking an experienced Data Architect in London (Hybrid) to define enterprise Data & AI architecture, design Databricks Lakehouse platforms and guide large-scale data transformations. You will collaborate with senior stakeholders across engineering, analytics and AI teams to deliver scalable, secure data ecosystems.

The role focuses on future-state platform standards, governance, and cross-cloud adoption, enabling advanced analytics and AI initiatives across enterprise programs.

Qualifications

• Defined enterprise Data & AI architecture strategies and roadmaps.
• Experience in data platform modernisation and architecture assessments.
• Strong knowledge of governance, security and information architecture.

Responsibilities

• Define enterprise Data & AI architecture strategies and target-state roadmaps.
• Design modern Databricks Lakehouse and cloud-based data platforms.
• Establish governance, security, metadata and data management frameworks.
• Lead architecture assessments, discovery workshops and strategic engagements.
• Create scalable architectures supporting analytics, ML and AI capabilities.
• Advise senior stakeholders on technology investments and transformation.
• Define architecture standards, patterns and best practices.
• Support cloud adoption across Azure, AWS and GCP environments.
• Collaborate with engineering, analytics and AI teams for implementation.

Skills

Databricks architecture

Lakehouse architecture

Data governance

Stakeholder engagement

Cloud environments (Azure/AWS/GCP)

Tools

Databricks

Delta Lake

Unity Catalog

Job description

Databricks is seeking an experienced Data Architect in London (Hybrid) to define enterprise Data & AI architecture, design Databricks Lakehouse platforms and guide large-scale data transformations. You will collaborate with senior stakeholders across engineering, analytics and AI teams to deliver scalable, secure data ecosystems.

The role focuses on future-state platform standards, governance, and cross-cloud adoption, enabling advanced analytics and AI initiatives across enterprise programs.