Senior Azure Data Architect – GenAI, RAG, Agentic AI

🔥 2 hours ago

🌐 Poland, Spain, +4 more countries – Remote

🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇨🇴 Colombia – Remote 🇬🇪 Georgia – Remote 🇬🇧 United Kingdom – Remote 🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SPD Technology

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💳 Fintech

🤖 Artificial Intelligence

🤝 B2B

Fintech • Artificial Intelligence • B2B

SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.

📋 Description

• Support a broad set of architectural needs across multiple workstreams • Design and own the data layer behind GenAI, RAG, and Agentic AI applications • Ensure enterprise data and knowledge are ingested, prepared, stored, governed, and made available for AI consumption and retrieval • Own and design data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments • Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions • Work with structured and genuinely unstructured data across the enterprise platform • Modernize existing data platforms and ensure implementation-ready architecture

🎯 Requirements

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

🏖️ Benefits

• Fully remote work around the globe or hybrid work from office hubs • Flexible working schedule • Stable workload and stable income • Performance review and career path • Mentorship program • Personal development plan • Individual learnings through the corporate library • Public speaking support • Company-wide tech and cultural events • Meaningful CSR initiatives • Supportive and flexible work environment • Collaboration, open communication and mutual respect