Databricks Data Architect

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 Data Architect - London (Hybrid)

Databricks - Enterprise Architecture - Data Strategy - Up to £95,000

Are you passionate about shaping enterprise-wide Data & AI strategies and designing the modern data platforms that power business transformation?

We're looking for an experienced Databricks Architect to join a growing Data & AI practice, helping enterprise organisations modernise their data estates, define technology strategy and establish the foundations for advanced analytics, machine learning and AI.

This is a strategic architecture role focused on defining future-state platforms, establishing architectural standards and guiding organisations through complex data transformation journeys. You'll work closely with senior stakeholders, technology leaders and engineering teams to design scalable, secure and future‑ready data ecosystems that deliver long‑term business value.

If you enjoy operating at the intersection of business strategy, enterprise architecture and modern data technologies, this is an opportunity to influence some of the most ambitious Data & AI programmes in the market.

You Will Work With

• Defining enterprise Data & AI architecture strategies and target‑state roadmaps
• Designing modern Databricks Lakehouse and cloud‑based data platforms
• Establishing governance, security, metadata and data management frameworks
• Leading architecture assessments, discovery workshops and strategic engagements
• Creating scalable architectures that support analytics, machine learning and AI capabilities
• Advising senior stakeholders on technology investments and transformation initiatives
• Defining architecture standards, design patterns and best practices
• Supporting cloud adoption across Azure, AWS and GCP environments
• Working closely with engineering, analytics and AI teams to ensure successful implementation
• Acting as a trusted advisor throughout large‑scale transformation programmes

Benefits

• Annual performance bonus
• Hybrid working model
• Access to enterprise‑scale Data & AI transformation programmes
• Industry‑recognised training and certifications
• Clear progression opportunities
• Private healthcare
• Pension scheme
• Flexible benefits package
• Exposure to cutting‑edge Data, Cloud and AI technologies

Key Experience

Essential

• Experience defining enterprise Data Architecture strategies and roadmaps
• Strong Databricks and Lakehouse Architecture expertise
• Deep understanding of Delta Lake, Unity Catalog and modern Data Platform design
• Experience creating target‑state architectures and modernisation strategies
• Strong knowledge of data governance, security and information architecture principles
• Experience working across Azure, AWS or GCP environments
• Excellent stakeholder engagement and communication skills
• Proven ability to influence technology strategy and architectural decision‑making
• Experience supporting large‑scale data transformation initiatives

Desirable

• Databricks certifications
• Machine Learning, Generative AI or AI architecture experience
• Data Operating Model design experience
• Enterprise Architecture governance and design authority experience
• Financial Services, Retail or other regulated industry experience
• Consultancy or professional services background