Databricks Data Architect

Tenth Revolution Group; City Of London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading technology consultancy is seeking a Senior Data Architect to design and evolve enterprise data architecture. The ideal candidate will have extensive experience in data architecture and modelling, particularly with Databricks and Azure solutions. This is a hybrid role based in London, offering a competitive salary and the opportunity to shape future data strategies.

Benefits

Flexible salary package

Opportunity to shape future data architecture

Work in a flexible hybrid model

Qualifications

• Extensive experience in data architecture, modelling, and platform design.
• Proficiency with Databricks, Azure Data Factory, Azure SQL, CosmosDB, and Microsoft SQL Server.
• Proven ability to work with both structured and unstructured data.

Responsibilities

• Design and implement conceptual, logical, and physical data models.
• Architect and optimise data platforms, including data lakes and data warehouses.
• Lead the development of metadata-driven ingestion and transformation pipelines.

Skills

data architecture

data modelling

Databricks

Azure Data Factory

Azure SQL

CosmosDB

Microsoft SQL Server

Master Data Management

agile delivery methodologies

Job description

Location: London (Hybrid - 2 days/week onsite)
Salary: Flexible, depending on experience
Employment Type: Permanent

Overview

Our client is seeking a highly experienced Senior Data Architect to lead the design and evolution of their enterprise data architecture. This is a strategic role focused on building scalable, secure, and future-proof data solutions that support business growth and innovation.

The ideal candidate will bring deep expertise in data modelling, Databricks, and Azure-based architecture, with a strong ability to translate complex requirements into robust technical solutions.

Key Responsibilities

• Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault)
• Architect and optimise data platforms including data lakes, lakehouses, and data warehouses
• Lead the development of metadata-driven ingestion and transformation pipelines
• Ensure compliance with GDPR and internal data governance policies
• Collaborate with engineering and delivery teams to define and align technical direction
• Oversee the full data lifecycle—from strategy and design through to delivery and maintenance
• Provide architectural oversight across projects, ensuring consistency and scalability
• Drive best practices in Master Data Management, data lineage, and cataloguing
• Influence stakeholders and guide teams through complex solution decisions

Skills & Experience

• Extensive experience in data architecture, modelling, and platform design
• Strong proficiency with Databricks, Azure Data Factory, Azure SQL, CosmosDB, and Microsoft SQL Server
• Proven ability to work with both structured and unstructured data
• Experience designing secure, scalable, and high-performance data solutions
• Familiarity with agile delivery methodologies (SCRUM, PRINCE2, Lean)
• Excellent communication skills, with the ability to engage both technical and non-technical stakeholders
• Strong problem-solving skills and a proactive, improvement-focused mindset

The Offer

• Join a forward-thinking organisation committed to data excellence
• Work in a flexible hybrid model (2 days/week in central London)
• Competitive and flexible salary package
• Opportunity to shape the future of data architecture in a high-impact role