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2 дня назад

Senior Cloud Data Platform Engineer (Azure/Databricks)

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
senior
Английский
b2
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

Senior Cloud Data Platform Engineer (Azure/Databricks): Administering and maintaining cloud data platforms, infrastructure as code, and ETL pipelines with an accent on Databricks, Azure services (ADLS, ADF), and CI/CD. Focus on optimizing performance, security, implementing data governance, and supporting data product delivery in an enterprise environment.

Location: Remote within Latin America

Company

hirify.global is a company focusing on cloud data platform solutions.

What you will do

  • Administer and maintain Databricks Azure accounts, workspaces, Unity Catalog, and metastore configurations using Terraform.
  • Provision, monitor, and optimize Azure Data Lake Storage environments for performance and security.
  • Develop, orchestrate, and troubleshoot Azure Data Factory pipelines for ETL and data movement.
  • Implement and enforce role-based access controls and data governance policies across platforms.
  • Monitor platform health, usage, and costs; build dashboards for observability and incident response.
  • Research and evaluate emerging cloud data technologies and execute proof-of-concept projects.

Requirements

  • Bachelor’s degree in a technical field or equivalent relevant experience.
  • Experience administering Databricks, Azure, and ADF in an enterprise environment.
  • Proficiency with Terraform, Azure GitHub/DevOps, and CI/CD pipeline management.
  • Strong understanding of cloud security, data governance, and role-based access control.
  • Experience with monitoring tools, incident response, and operational dashboards.
  • Ability to collaborate and communicate effectively with cross-functional teams.

Nice to have

  • Experience supporting machine learning and advanced analytics workloads.
  • Familiarity with reporting solutions such as Power BI.
  • Knowledge of multi-cloud environments and hybrid data architectures.

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