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.