Data Architect
An international Data & Intelligence partner of ours is searching for an additional hands-on data architect to take ownership of a Snowflake-led data platform during a period of major investment. Several large data initiatives are starting, with a clear shift toward operational and product-aligned data use cases which justifies this strategic hire to be made now.
Responsibilities:
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Lead and guide data engineering and architectural decisions across multiple initiatives
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Design, build, and evolve scalable Snowflake-based data platforms and models
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Translate business problems into practical, working data solutions
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Stay hands-on while providing technical direction
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Enable experimentation while maintaining data quality and reliability
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Influence standards and best practices across distributed data teams
Requirements:
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Proven experience as a Lead Data Engineer, Data Architect, or similar senior role
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Hands-on Snowflake architecture experience (critical)
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Experience with DBT, Dagster and/or Apache Airflow (critical)
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4-5+ years working in production data environments
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Strong data modelling experience (dimensional, Data Vault, 3NF)
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Advanced SQL and solid database design fundamentals
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ELT tooling experience (Fivetran, Airbyte, or similar)
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Python for pipelines, automation, and platform support
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Cloud expertise within Azure
Opportunity:
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Take technical ownership of a modern Snowflake data platform
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Work on large, business-critical data programmes from early design onward
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Operate in an environment that encourages experimentation and pragmatic problem-solving
- Flexible Home working (4 days per week home office)
- Competitive fixed base and performance bonus
