Snowflake Data Architect
Job in
London, Greater London, W1B, England, UK
Listed on 2026-09-14
Listing for:
Adecco
Full Time
position Listed on 2026-09-14
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection
Job Description & How to Apply Below
London, Greater London
Contract:
Permanent Industry: ITSalary: 85, per year Recruiter:
Vernon WillimentE-Mail: vernon.williment.itrak.com
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 Private Link 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.
Fin Ops 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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