
Senior Azure Data Architect – GenAI, RAG, Agentic AI
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Poland, +5 more countries.
• Assist in a diverse range of architectural requirements across various workstreams.
• Design and manage the data infrastructure for GenAI, RAG, and Agentic AI applications.
• Ensure that enterprise data and knowledge are effectively ingested, prepared, stored, governed, and made accessible for AI usage and retrieval.
• Take responsibility for designing and implementing data architecture, data modeling, ingestion, and platform modernization within enterprise Azure environments.
• Create and deploy scalable, metadata/configuration-driven data ingestion and data platform solutions.
• Collaborate with both structured and genuinely unstructured data across the enterprise platform.
• Upgrade existing data platforms and guarantee that the architecture is ready for implementation.
• Strong expertise in enterprise Azure Data Architecture.
• Demonstrated proficiency in Azure Cosmos DB and Azure Synapse Analytics.
• Practical experience in designing or contributing to the data/knowledge layer for production projects involving GenAI, RAG, or Agentic AI applications.
• Proven personal responsibility for the data/knowledge architecture supporting a production RAG/Agentic application.
• Experience in preparing data for retrieval and selecting vector-search/storage technologies.
• Hands-on experience with Azure Data Platform technologies.
• Familiarity with Azure Synapse Analytics, including its design and capabilities.
• Experience working with Azure Databricks.
• Proficient in Azure SQL MI, SQL Server, and T-SQL.
• Knowledge of Azure Data Lake / Lakehouse architecture.
• Experience with Azure Functions.
• Expertise in data modeling, ingestion pipelines, and modernizing existing data platforms.
• Practical experience managing both structured and genuinely unstructured data.
• Proven capability to design scalable, metadata/configuration-driven ingestion architectures.
• Fully remote work opportunities worldwide or hybrid options from office hubs.
• Flexible working hours.
• Consistent workload and reliable income.
• Performance evaluations and clear career progression.
• Mentorship program available.
• Personalized development plan.
• Access to individual learning resources through the corporate library.
• Support for public speaking initiatives.
• Participation in company-wide tech and cultural events.
• Engaging CSR initiatives.
• Supportive and adaptable work environment fostering collaboration, open communication, and mutual respect.
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