Senior Azure Data Architect for GenAI & RAG Platforms

Spd-Technology; España; A distancia; EUR 133.000 - 187.000; Jornada completa

Descripción de la vacante

SPD Technology is seeking a Senior Azure Data Architect to lead enterprise data architecture, govern data flows, and enable GenAI/Agentic AI applications. You will own data modeling, ingestion pipelines, and platform modernization across Azure services.

You will work with Azure Cosmos DB, Synapse Analytics, Databricks and Data Lake/Lakehouse to deliver scalable, metadata-driven solutions for complex, multi-workstream environments. Fully remote or hybrid options available.

Formación

• Extensive experience designing and owning enterprise Azure data architectures.
• Proven production experience with GenAI / RAG / Agentic AI data layers.
• Hands-on data modeling, ingestion pipelines, and modernization projects.

Responsabilidades

• Own and design data architecture, modeling, ingestion, and platform modernization for Azure environments.
• Design data layer supporting GenAI, RAG, and Agentic AI accessibility and retrieval.
• Implement scalable, metadata-driven ingestion and data platform solutions.
• Handle structured and unstructured data across the enterprise platform.
• Modernize existing data platforms and ensure production-ready architecture.

Conocimientos

Azure Data Architecture

Azure Cosmos DB

Azure Synapse Analytics

GenAI / RAG / Agentic AI data layer

Data modeling

Ingestion pipelines

Metadata-driven ingestion

Unstructured data

Data platform modernization

Azure Databricks

Azure SQL MI / SQL Server / T-SQL

Azure Data Lake / Lakehouse

Azure Functions

Herramientas

Azure Databricks

Azure Synapse Analytics

Azure Data Lake

Azure Functions

Azure Cosmos DB

Descripción del empleo

SPD Technology is seeking a Senior Azure Data Architect to lead enterprise data architecture, govern data flows, and enable GenAI/Agentic AI applications. You will own data modeling, ingestion pipelines, and platform modernization across Azure services.

You will work with Azure Cosmos DB, Synapse Analytics, Databricks and Data Lake/Lakehouse to deliver scalable, metadata-driven solutions for complex, multi-workstream environments. Fully remote or hybrid options available.