Data Architect

Data Architect

£80,000 + excellent benefits

2 days a month in the office (just outside London)

A leading tech client is hiring a Data Architect to design and evolve scalable data platforms and modern data products that underpin analytics, AI, and data-driven decision-making.

You’ll work in a cross-functional team of Data Engineers, Analytics Engineers, Data Scientists, and AI Specialists to build the data foundations that power insight, automation, and innovation across the organisation.

Key Responsibilities:

• Design and maintain scalable data platforms using cloud-native technologies such as Databricks and AWS across development, staging, and production environments
• Build and govern dimensional data models and semantic layers to power consistent and trusted analytics
• Integrate data from diverse sources including cloud warehouses, APIs, and operational systems
• Define semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases
• Enable Generative AI and ML workloads by designing pipelines for vector search, RAG, and feature engineering
• Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks
• Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform
• Monitor and optimise cloud resource usage to ensure performance and cost efficiency
• Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards

You Will Have:

• Proven hands-on expertise in data modelling with a strong track record of designing and implementing complex dimensional models and enterprise-wide canonical data models
• The ability to translate complex business processes into scalable and intuitive data models that support analytics and AI
• Extensive experience designing fact and dimension tables across core business domains
• Deep practical knowledge of semantic layer design using dbt, SQL, and Delta Live Tables
• Experience building and maintaining data pipelines across batch and streaming environments
• Strong understanding of governance frameworks, access controls, and data protection policies
• Familiarity with Databricks, Snowflake, AWS, and modern data infrastructure patterns
• Excellent SQL skills and a focus on performance tuning, data integrity, and reusable design patterns

This is an opportunity to shape the blueprint of a data-driven organisation, working with cutting-edge cloud and AI technologies alongside a highly skilled data team.