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.
Periodically attend client sites to enhance relationships and ensure architectural direction aligns with strategic outcomes.

Requirements

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.
Demonstrated 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.
Ability to inspire, guide and elevate cross-functional engineering teams.
Solid understanding of Agile delivery and cross-functional collaboration.

Benefits

(Really) flexible hyrbid working – we don’t mind when, where or how you work; you are trusted to work in the way that suits you best.
Genuine care and support for your health and wellbeing – free therapy sessions, financial education, birthday treats and much more.
Incredible training and learning opportunities – you’ll be surrounded by the best in the business and encouraged to keep growing.
Freedom and empowerment to own problems and explore new ideas – we allow our consultants to actually be consultants, not just bodies.
A supportive, friendly team – we work hard and enjoy spending time together, whether it’s in-person at socials or via silly Slack conversations.
Dog friendly offices – we’re a team of dog lovers, so we’ve made our offices dog friendly!
An enhanced benefits package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturecloud-native data platformsdata modelling methodologiesDBTdata transformationorchestrationmetadata managementinfrastructure as codeTerraformmedallion architectures

Soft Skills

leadershipcommunicationclient relationship managementcross-functional collaborationguidanceinspirationstrategic advisingclarity in articulationinnovation drivingteam elevation