Роль чётко описана и связана с современной архитектурой данных для GenAI, но без зарплаты сложно оценить доход, а аутсорсинговый формат может означать смену проектов.
Кликните для подробной информации
Зарплата не указанаАутсорсингСовременный стекПонятные задачиРазвитие и обучение
Оценка от Hirify AI
Мэтч & Сопровод
Покажет вашу совместимость и напишет письмо
Создать профиль и узнать мэтч
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Azure Data Architect (Cosmos DB / GenAI / RAG) (Azure/Cosmos DB/GenAI/RAG): Designing scalable enterprise data platforms for GenAI, RAG, and Agentic AI applications with an accent on data ingestion, structured and unstructured data architectures, and production reliability. Focus on architecting Azure Cosmos DB solutions, building AI-ready retrieval platforms, and modernizing data systems for scalability, performance, and availability.
Location: Remote, work from anywhere; listed region: Astana
Company
СимбирСофт delivers technology solutions and projects across different industries using diverse technology stacks.
What you will do
Design enterprise data architectures based on Microsoft Azure.
Architect production-grade data platforms for GenAI, RAG, and Agentic AI applications.
Design data models, storage solutions, integration processes, and ingestion architectures for structured and unstructured data.
Architect Azure Cosmos DB solutions focused on scalability, performance, reliability, and availability.
Build metadata-driven and configuration-based ingestion frameworks using Azure Synapse Analytics, Azure Data Lake, and other Azure services.
Document architectures and technical specifications, modernize existing platforms, and collaborate with Development, Data Engineering, and AI Engineering teams.
Requirements
Experience as a Data Architect, Solution Architect, or Cloud Data Architect.
Deep expertise in Azure Cosmos DB and hands-on experience designing enterprise data platforms on Microsoft Azure.
Production experience architecting data solutions for RAG, GenAI, and/or Agentic AI applications.
Strong understanding of data modeling, ingestion pipelines, data integration patterns, and structured and unstructured data architectures.
Ability to make independent architectural and technical decisions while addressing security, scalability, reliability, and performance requirements.
English proficiency at C1 level is required.
Nice to have
Azure Synapse Analytics, Azure Databricks, Azure Data Lake, or Lakehouse architecture experience.
Experience with Azure SQL Managed Instance, SQL Server, T-SQL, or Azure Functions.
Experience modernizing enterprise data platforms.
Culture & Benefits
Fully remote work with flexibility to work from anywhere.
Projects across different industries and opportunities to explore new technologies.
Career development paths toward Team Lead, Architect, or Software Developer roles.
Mentorship, company-sponsored certifications, and industry conference opportunities.
Knowledge-sharing culture with internal and external meetups and continuous technical and soft-skills development.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →