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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