Snowflake / Data Architect – London, Wembley job at London, United Kingdom Full Time NEW

Job Title: Snowflake / Data Architect

Salary: Paying up to £90,000 per annum

Location: Wembley London – 5 days on-site

Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team.

Skills

• Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance.
• Data Architecture: Mastery of Data Warehouse design methodologies – Inmon, Kimball, and Data Vault 2.0 – with the judgement to apply the right pattern for the right use case.
• Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks.
• AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity.
• AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption – vector databases, embedding stores, and RAG pipeline integration.
• Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders.

Duties

• Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products.
• Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake – ensuring data integrity, lineage tracking, and end-to-end auditability.
• Snowflake Governance : Own the full security model for the Snowflake platform – RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments.
• FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend.
• AI Readiness: Architect data stores purpose-built for LLM consumption – including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway’s AI product layer.
• Data Contracts : Partner with Business Analysts to formally define and document ‘Data Contracts’ between systems – creating clear, agreed interfaces between producers and consumers across the data platform.