Data Architect

Job Title: Data Architect

Location: London (Hybrid – 1 day per week in the office)

Salary: Up to £100,000 - £120,000 basic + bonus

Our client is a leading data and analytics consultancy helping organisations modernise their data platforms and unlock value through cloud, engineering, and AI-driven analytics. They work with enterprise clients across multiple industries, delivering scalable, future-proof data solutions that combine strong engineering with pragmatic architecture.

As part of continued growth in the UK, they are looking to hire a Data Architect who has solid foundational data architecture experience and is keen to deepen their exposure to modern platforms such as Databricks, Snowflake, and Generative AI.

The Opportunity

• Contribute to the design and evolution of modern data architectures across cloud environments
• Support the modernisation and optimisation of enterprise data platforms, including ingestion, transformation, and analytics layers
• Work closely with senior architects and engineers, gaining hands-on experience with Databricks, Snowflake, and emerging GenAI use cases
• Balance architectural thinking with hands-on delivery in real-world client environments

What you’ll be doing

• Supporting the design of scalable, secure data architectures on cloud platforms (AWS, Azure, or GCP)
• Working with modern data technologies such as Snowflake, Databricks, dbt, and ETL/ELT tooling
• Helping define data models, ingestion patterns, and governance approaches
• Collaborating with engineers, analysts, and client stakeholders to deliver production-ready data solutions
• Gaining exposure to AI and GenAI-enabled data platforms, including experimentation and proof-of-concept work

What you will bring

• 3+ years in a Data Architecture role
• Experience in data engineering, analytics engineering, or data platform roles with some exposure to data architecture principles
• Good understanding of data warehousing concepts, data modelling, and cloud data platforms
• Strong SQL skills and working knowledge of Python or similar languages
• An interest in modern data platforms and emerging technologies, including Databricks, Snowflake, and AI-driven analytics
• Ability to work collaboratively in client-facing or consulting-style environments

This role does not require deep, enterprise-wide architecture ownership from day one, the focus is on strong fundamentals, curiosity, and the desire to grow into a broader architectural role.