Define, own and evolve enterprise‑grade data architectures, ensuring scalability, sustainability and alignment with client objectives
Lead the design of cloud‑based data platforms, semantic layers, integration patterns and data models
Establish governance standards, frameworks and principles that guide engineering teams
Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence
Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality
Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities
Proactively share insights and drive innovation across the wider engineering team

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes
Proven expertise designing cloud-native data platforms across Azure, GCP or AWS
Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling)
Experience with modern data transformation approaches — familiarity with DBT and analytics engineering principles is beneficial
Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc.
Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption
Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design
Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value
Experience with infrastructure as code, especially Terraform, to ensure architectural consistency and deployment scalability
Able to inspire, guide and elevate cross-functional engineering teams
Knowledge and experience of the following would be advantageous: Experience working in a consultancy environment and / or industry domain expertise (financial services, telecoms, ecommerce, retail, healthcare)

A collaborative and supportive environment in which you can grow and develop your career
The tools and opportunity to do work you can be proud of
A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
Industry leading coaching and mentoring

Senior Data Architect

Key skills