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Big Data Architect (Azure)

Формат работы
remote (только Europe)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland/Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Big Data Architect (Azure) (Azure/data platforms): Design and deliver enterprise-scale data architectures and platforms on Azure with an accent on scalability, security, governance, and high performance. Focus on leading architecture decisions, building ingestion and transformation layers, guiding engineering teams, and shaping customer-facing solutions from PoC through full-scale implementation.

Location: Bulgaria or Poland; remote or office-based work

Company

hirify.global delivers engineering and technology solutions, including enterprise data platforms and analytics systems.

What you will do

  • Design and lead end-to-end Azure data architectures for enterprise-scale platforms.
  • Define architecture standards, patterns, best practices, and technical decisions.
  • Gather requirements, model data, and translate business needs into scalable solution roadmaps.
  • Guide engineering teams in building ingestion, transformation, storage, and serving layers.
  • Ensure data governance, quality, security, and software engineering practices across platforms.
  • Support pre-sales through workshops, solution envisioning, technical discussions, and proposals.

Requirements

  • Hands-on experience building large-scale data platforms, migrations, and decision-support systems.
  • Expertise in modern data architectures, including data warehouses, lakehouses, streaming, real-time, and event-driven processing.
  • Experience with Azure data services such as Microsoft Fabric, Azure Synapse, Data Factory, ADLS Gen2, Cosmos, Azure SQL, Databricks, and Azure Stream Analytics.
  • Working knowledge of SQL and Python/PySpark, plus streaming technologies such as Kafka, Event Hub, or Spark Structured Streaming.
  • Experience with data governance, security, SDLC, CI/CD, version control, testing, and data management frameworks.
  • Working proficiency in English with strong communication and presentation skills; readiness to lead, mentor, and advise customers.

Culture & Benefits

  • Work in a multicultural environment with customer-facing consulting responsibilities.
  • Participate in the Big Data community and explore new technologies through prototypes.
  • Contribute across the full project lifecycle, from proof of concept and MVP to full-scale implementation.

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