обновлено 1 месяц назад
Big Data Architect (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Big Data Architect (Azure) (Azure): Designing and delivering end-to-end data architectures for enterprise-scale data platforms with an accent on scalable, secure, and high-performance Azure solutions. Focus on defining architecture standards, building ingestion and processing layers, and guiding data engineering teams through full-scale implementations.
Location: Ukraine; remote or office work
Company
provides engineering and technology services, including enterprise data platform architecture and implementation.
What you will do
- Design and deliver end-to-end Azure data architectures for enterprise-scale platforms.
- Lead architecture decisions, standards, patterns, and best practices.
- Gather requirements, develop data models, and translate business needs into solution designs and implementation roadmaps.
- Guide engineering teams in building ingestion, transformation, storage, and serving layers.
- Ensure data governance, quality, security, and performance across modern data platforms.
- Support pre-sales workshops, solution envisioning, proposals, prototypes, and projects from PoC through full-scale implementation.
Requirements
- 2+ years of proven experience as a Big Data Architect.
- Hands-on experience building large-scale data platforms, migrations, and decision-support systems.
- Knowledge of data warehouses, lakehouses, streaming, real-time, and event-driven architectures.
- Experience with Azure data services, including Microsoft Fabric, Azure Synapse, Data Factory, ADLS Gen2, Cosmos, Azure SQL, Databricks, and Azure Stream Analytics.
- Working knowledge of SQL, Python, PySpark, Kafka or Event Hub, Spark Structured Streaming, CI/CD, version control, and testing.
- Working proficiency in English and strong communication and presentation skills in a multicultural environment; readiness to lead, mentor, and advise customers.
Culture & Benefits
- Remote or office work format in Ukraine.
- Participation in a Big Data community and exploration of emerging technologies.
- Opportunities to work with enterprise-scale data platforms across the full project lifecycle.
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