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360 Resourcing Solutions Logo 360 Resourcing Solutions · IT - Software Development

Data Architect

United Kingdom, Park Royal · Job Posted April 20, 2026
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Job Description

We’re looking for an experienced Data Architect to manage our Enterprise Data Architecture and Snowflake Governance. The ideal candidate will have specialist knowledge of Snowflake platform design and governance along with expert technical skills to establish and own the ‘Bestway Data Vault’.

Job Responsibility

  • Establish the 'Bestway Data Vault' — defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products
  • 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
  • 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
  • Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend
  • 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
  • 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

Requirements

  • 10+ years in Data Engineering or Data Architecture
  • Minimum of 4 years specialising in Snowflake platform design and governance
  • Mastery of Data Warehouse design methodologies (Inmon, Kimball, and Data Vault 2.0)
  • Expert SQL and Python
  • Hands-on experience with dbt (data build tool) or equivalent transformation frameworks
  • Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity
  • Practical experience architecting data infrastructure for AI/ML consumption (vector databases, embedding stores, and RAG pipeline integration)
  • Strong interpersonal skills
  • Ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders

What we offer

  • Competitive salary
  • Pension
  • 22 days annual leave, plus bank holidays
  • Onsite parking
  • Life assurance
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