Adecco
Snowflake Data Architect - London, Wembley
London
£90k/yr
Posted 2 days ago
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Snowflake Data Architect - London, Wembley
Snowflake Data Architect
Salary & Location
- Salary: Up to £90,000 per annum
- Location: Wembley, London – 5 days on-site
About the Role
Our client, a well-established multinational organisation, is seeking a Snowflake / Data Architect to join their team.
Key Responsibilities
- Data Modelling Standard: Define Star Schema patterns, Snowflake object hierarchies, and modelling conventions for Group-wide data products.
- Cross-Cloud Orchestration: Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs via Snowflake, ensuring data integrity, lineage tracking, and end-to-end auditability.
- Snowflake Governance: Own the full security model for Snowflake, including RBAC policy design, dynamic data masking, row-level security (RLS), and comprehensive audit logging across all environments.
- FinOps for Data: Monitor Snowflake credit consumption, identify and remediate high-cost query anti-patterns, and optimise warehouse scheduling to reduce operational costs.
- AI Readiness: Architect purpose-built data stores for LLM/ML consumption, including vector databases, embedding pipelines, and RAG-compatible data structures, forming the foundation for the organisation’s AI product layer.
- Data Contracts: Collaborate with Business Analysts to formally define and document "data contracts" between systems, ensuring clear producer-consumer interfaces across the data platform.
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Key Skills & Experience
Technical Expertise
- Snowflake Specialisation: Minimum 4 years of hands-on experience in Data Engineering/Architecture, focusing on Snowflake’s design, governance, and optimisation.
- Data Warehouse Methodologies: Proficiency in Inmon, Kimball, and Data Vault 2.0 data warehouse design patterns; ability to apply the right pattern for the right use case.
- Programming & Querying:
- Expert-level SQL
- Python scripting
- dbt (Data Build Tool) or equivalent data transformation frameworks
- Cloud Integrations:
- AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud connectivity
- Snowflake-Azure API integration
- AI Infrastructure:
- Experience in architecting data pipelines for AI/ML, including vector databases, embedding stores, and RAG pipeline integration.
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Soft Skills & Collaboration
- Ability to translate complex data architecture into clear, actionable insights for non-technical stakeholders (e.g., Business Analysts).
- Strong interpersonal communication skills and leadership in defining data standards.
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Skills
Data Engineering
Data Architecture
Snowflake
SQL
Python
dbt
AWS IAM
S3
AI/ML
Data Modelling
Star Schema
Snowflake Governance
RBAC
FinOps
Data Contracts
Location