Snowflake Data Architect - London, Wembley
Adecco · London · posted 22 days ago
Going rate £34,600UK median £37,995London £41,034
Home Office going rates from
Occupation
3133Database administrators and web content technicians
Going rate for this occupation: £34,600 · UK median pay £37,995
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£85,000 to £110,000stated · above the range ONS published
- Going rate£34,600
- UK median£37,995
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £25,641 |
| 25th | £30,395 |
| 50th | £37,995 |
| 75th | £48,133 |
| Going rate | £34,600 |
| UK median | £37,995 |
Sponsorship
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Why
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Job Title: Snowflake Data Architect
Salary: Paying between £85-£110,000
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.
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