Remote Senior Azure Data Architect — GenAI/RAG

SPD Technology

Polska

Hybrid

PLN 466,000 - 700,000

Full time

14 days+

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Job summary

SPD Technology is seeking a Senior Azure Data Architect to design and own the data layer behind GenAI, RAG, and Agentic AI applications. You will ensure enterprise data is ingested, stored, governed, and made accessible for AI-driven retrieval and analysis.

Join a remote-first, globally distributed team focused on cutting-edge data platforms. You will collaborate across workstreams to modernize data capabilities and empower AI-enabled decision making.

Qualifications

  • Strong background in enterprise Azure Data Architecture with proven depth in Azure Cosmos DB and Azure Synapse Analytics.
  • Experience designing data/knowledge layers supporting GenAI, RAG, or Agentic AI applications.
  • Hands-on with Azure Data Platform technologies including Synapse, Databricks, SQL Server/T-SQL, Data Lake/Lakehouse, and Functions.

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, including ingestion, preparation, storage, governance, and retrieval for AI use.
  • Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions.
  • Work with structured and unstructured data across the enterprise platform.
  • Modernize existing data platforms and ensure implementation-ready architecture.

Skills

Azure Data Platform
Data Architecture
GenAI integration
RAG pipelines
Azure Databricks
Cosmos DB
SQL/T-SQL

Tools

Azure Synapse Analytics
Azure Databricks
Azure Cosmos DB
Azure SQL MI
Azure Functions
Azure Data Lake

Job description

SPD Technology is seeking a Senior Azure Data Architect to design and own the data layer behind GenAI, RAG, and Agentic AI applications. You will ensure enterprise data is ingested, stored, governed, and made accessible for AI-driven retrieval and analysis.

Join a remote-first, globally distributed team focused on cutting-edge data platforms. You will collaborate across workstreams to modernize data capabilities and empower AI-enabled decision making.

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