Data Architect

Techtorch · EU + UKsenior

In short

▸Arquitecto de datos que diseña plataformas escalables con IA integrada.
▸Diseña pipelines, modelos y arquitecturas de datos en la nube, alineadas con estrategias empresariales.
▸Destacado: uso de agentes de IA (como Claude Code) como aceleradores productivos en el desarrollo.

Fluent in English

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What they ask for

✓7+ años en arquitectura de datos o ingeniería de datos en entornos complejos.
✓Experiencia comprobada en soluciones técnicas para clientes.
✓Capacidad de liderar técnicamente a ingenieros y analistas.
✓Conocimiento avanzado en modelado de datos y warehousing (Snowflake, Redshift, BigQuery).
✓Experiencia con dbt, ETL (Talend, Informatica) y arquitecturas en la nube (AWS, Azure, GCP).
✓Habilidades en IA/ML, RAG y automatización de pipelines con agentes de IA.

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SnowflakeRedshiftBigQuerydbtTalendInformaticaAWSAzureGCPClaude Code

Who should you write to at Techtorch?

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TechTorch Data Practice Data Architect Architect end-to-end products on a solid data foundation, with AI as a force multiplier. Data Practice | Remote (Global) | Senior About the Practice TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries. We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place. The Role As a Data Architect, you will be responsible for designing, deploying, and governing modern data architectures that support enterprise-scale analytics, reporting, and operational use cases. You’ll define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities. You will collaborate with both business and technology stakeholders to design scalable and efficient data platforms, define data modeling standards, and enable seamless integration across the enterprise. Your work will ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives. , Talend, Informatica) Familiarity with building and/or designing reporting solutions for business stakeholders (e.

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