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Big Data Architect (Databricks + Azure)

Формат работы
remote (только Ukraine)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Ukraine
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Big Data Architect (Databricks + Azure) (Databricks/Azure): Designing enterprise-scale Data & Analytics platforms on the Databricks Lakehouse Platform within Azure environments with an accent on scalable batch and streaming architectures, data governance, and cloud-native modernization. Focus on translating business requirements into solution architectures, supporting pre-sales and migration planning, and building real-time data processing solutions with Kafka, Azure Event Hub, and Databricks Structured Streaming.

Location: Ukraine; remote or office work

Company

hirify.global delivers enterprise technology solutions and helps organizations modernize and scale data platforms.

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 in 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, streaming, and real-time data architectures and support projects from discovery and proof of concept through production.

Requirements

  • Proven experience as a Data Architect working with enterprise-scale Data & Analytics platforms.
  • Strong experience designing Databricks architectures and data solutions in Azure.
  • Hands-on knowledge of Delta Lake, Unity Catalog, Workflows, Jobs, and SQL Warehouses.
  • Experience with Azure data services including ADLS Gen2, Azure Data Factory, Microsoft Fabric, and Azure SQL.
  • Advanced SQL and Python skills, plus experience with Apache Kafka, Azure Event Hub, and Databricks Structured Streaming.
  • Customer-facing and pre-sales experience, knowledge of data governance, and upper-intermediate or higher English.

Culture & Benefits

  • Remote or office-based work arrangement.
  • Participation in the full project lifecycle, from discovery and proof of concept to MVP and production implementation.
  • Work across customer, delivery, and technical stakeholder groups.

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