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# Snowflake Data Architect

- **Company:** Adecco
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £80,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Microsoft Azure, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Infrastructure, Data Integrity, Data Structures, Data Stores, Data Vault Modeling, Data Warehousing, Document-Oriented Databases, Identity and Access Management, Python (Programming Language), Operational Data Store, Role-Based Access Control, Standard Sql, SQL Databases, Large Language Models, Snowflake, Data Lakes, Data Lineage, Star Schema, Dynamic Data, Data Pipelines
- **Published:** August 21, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5850919857

## About the Role

* Solid experience in Data Engineering or Data Architecture, with at least 4 years specialising in Snowflake platform design and governance.
 * Strong mastery of Data Warehouse design methodologies, including Inmon, Kimball, and Data Vault 2.0, with the judgment to apply the right pattern for each use case.
 * Expert-level SQL and Python skills.
 * Hands-on experience with dbt 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, including vector databases, embedding stores, and RAG pipeline integration.
 * Strong interpersonal skills with the ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders.

## Description

* Define 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, including RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments.
 * Monitor Snowflake credit consumption, 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.
 * Partner with Business Analysts to define and document Data Contracts between systems, creating clear interfaces between producers and consumers across the data platform.

Technologies:

 * AI
 * AWS
 * Architect
 * Azure
 * Cloud
 * Data Vault
 * Data Warehouse
 * IAM
 * LLM
 * Python
 * RBAC
 * SQL
 * Security
 * Snowflake
 * dbt


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