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7 дней назад

Big Data Architect (Databricks + Azure)

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

Текст:
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TL;DR
Big Data Architect (Databricks + Azure) (Data & Analytics): Designing enterprise-scale data and analytics platforms on Databricks and Azure with an accent on scalable batch and streaming architectures, cloud-native services, and data governance. Focus on translating business requirements into solution architectures, shaping migration roadmaps, supporting pre-sales engagements, and implementing real-time processing with Kafka, Azure Event Hub, and Databricks Structured Streaming.

Location: Poland; work format: remote or office

Company

Engineering & Technology organization focused on enterprise Data & Analytics solutions.

What you will do

  • Design and support implementation of enterprise-scale Data & Analytics platforms using Databricks and Azure.
  • Translate business and technical requirements into scalable solution architectures and implementation approaches.
  • Collaborate with customers, delivery teams, and stakeholders during discovery workshops, architecture discussions, and solution planning.
  • Support pre-sales through technical proposals, architecture presentations, demos, and solution assessments.
  • Define migration strategies, high-level estimates, Statements of Work, and roadmap proposals.
  • Design batch and streaming architectures and contribute to data governance, from discovery and proof of concept through production implementation.

Requirements

  • Proven experience as a Data Architect working with enterprise-scale Data & Analytics platforms.
  • Strong experience designing Databricks architectures in Azure environments, including Delta Lake, Unity Catalog, Workflows, Jobs, and SQL Warehouses.
  • Knowledge of Azure data services including ADLS Gen2, Azure Data Factory, Microsoft Fabric, and Azure SQL.
  • Advanced SQL and Python skills with practical data engineering and analytics experience.
  • Experience with real-time architectures using Apache Kafka, Azure Event Hub, and Databricks Structured Streaming.
  • Upper-intermediate or higher English proficiency required.

Culture & Benefits

  • Participation in the full project lifecycle, from discovery and proof of concept to MVP and production.
  • Collaboration with customers, delivery teams, and technical and business stakeholders.
  • Remote or office work format available in Poland.

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