Senior Azure Data Architect (GenAI / RAG / Agentic AI experience)

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SeniorFull-time
#449195·Dodano dziś·0
Źródło: SPD Technology
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Tech Stack / Keywords

Azure Cosmos DBAzure Synapse AnalyticsAzure DatabricksAzure SQL MISQL ServerT-SQLAzure Data LakeAzure FunctionsLakehouse architectureGenAI

Firma i stanowisko

SPD Technology is a global software product development company specializing in fintech, digital payment solutions, data engineering, AI/ML, and Cloud technologies. Founded in 2006, it has delivered over 460 projects for a diverse range of clients including Fortune 500 firms. The company focuses on building advanced enterprise-grade solutions such as AI-driven platforms and high-volume data analytics systems.

Wymagania

  • Strong background in enterprise Azure Data Architecture with proven depth in Azure Cosmos DB and Azure Synapse Analytics.
  • Real production project experience designing or contributing to data/knowledge layers supporting GenAI, RAG, or Agentic AI applications.
  • Demonstrated ownership of data/knowledge architecture behind production RAG/Agentic applications, including data preparation for retrieval and vector-search/storage technology selection.
  • Hands-on experience with Azure Synapse Analytics, Azure Databricks, Azure SQL MI, SQL Server, T-SQL, Azure Data Lake, Lakehouse architecture, and Azure Functions.
  • Experience with data modeling, ingestion pipelines, and modernizing data platforms.
  • Experience handling structured and unstructured data.
  • Proven ability to design scalable, metadata/configuration-driven ingestion architectures.

Obowiązki

  • 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 consumption.
  • Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions.
  • Work with both structured and genuinely unstructured data across the enterprise platform.
  • Modernize existing data platforms and ensure implementation-ready architecture.

Benefity

  • Fully remote work worldwide or hybrid work from equipped office hubs.
  • Flexible working schedule supporting work-life balance.
  • Stable workload and income with a high-performance culture.
  • Performance reviews, career path development, mentorship programs, individual learning resources, and public speaking support.
  • Participation in company-wide tech and cultural events.
  • Engagement in meaningful CSR initiatives.
Elastyczne godziny
SPD Technology

SPD Technology

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