Senior Azure Data Architect for GenAI & RAG (Remote)

SPD Technology; España; Remote; EUR 90,000 - 130,000; Full time

Job summary

SPD Technology is seeking a Senior Azure Data Architect to lead enterprise data architecture across GenAI, RAG, and Agentic AI initiatives. You will own the data layer, ingestion pipelines, and platform modernization using a comprehensive Azure stack.

You will collaborate on scalable designs for both structured and unstructured data, ensuring governance and retrieval readiness to empower AI applications. Remote/hybrid options available with global teams.

Qualifications

• Experience designing or contributing to data/knowledge layers for GenAI, RAG, or Agentic AI applications.
• Hands-on experience with Azure Data Platform technologies including Synapse, Databricks, SQL MI/SQL Server, and Data Lake architectures.
• Proven ownership of data/knowledge architecture behind production GenAI/RAG applications.

Responsibilities

• Own and design the data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments.
• Design the data layer supporting GenAI, RAG, and Agentic AI applications for retrieval and AI consumption.
• Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions.
• Work with structured and unstructured data across the enterprise platform and modernize existing data platforms.

Skills

Data architecture

Data modeling

ETL design

GenAI / RAG knowledge

Tools

Azure Data Platform

Azure Cosmos DB

Azure Synapse Analytics

Azure Databricks

Azure SQL MI / SQL Server / T-SQL

Azure Data Lake / Lakehouse

Azure Functions

Job description

SPD Technology is seeking a Senior Azure Data Architect to lead enterprise data architecture across GenAI, RAG, and Agentic AI initiatives. You will own the data layer, ingestion pipelines, and platform modernization using a comprehensive Azure stack.

You will collaborate on scalable designs for both structured and unstructured data, ensuring governance and retrieval readiness to empower AI applications. Remote/hybrid options available with global teams.