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обновлено 13 дней назад

Sr. Staff Platform/Data Reliability Engineer, Databricks

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Sr. Staff Platform/Data Reliability Engineer, Databricks (Databricks): Building a reliable, secure, scalable, and operationally mature Databricks platform for regulated enterprise workloads with an accent on observability, CI/CD, compute policies, and production reliability. Focus on designing deployment standards, enforcing data access controls, improving platform health and cost efficiency, and enabling secure operations across commercial and government-hosted environments.

Location: Remote

Company

hirify.global develops technology for defense and aerospace applications.

What you will do

  • Own operational excellence for the Databricks platform, including monitoring, alerting, observability, incident response support, and production runbooks.
  • Define CI/CD, deployment automation, version control, and environment-promotion standards for Databricks assets.
  • Design compute policies, workload isolation, service-principal usage, environment separation, and reliable production-execution patterns.
  • Create reusable onboarding and operational templates covering logging, job tagging, metadata capture, and support handoffs.
  • Partner with data engineering and cloud infrastructure teams to improve ingestion reliability, security, recoverability, cost efficiency, and compliance.
  • Track platform health metrics, document operating standards, and mentor engineers developing platform responsibilities.

Requirements

  • 12+ years of experience in data platform engineering, platform operations, site reliability engineering, or modern cloud data infrastructure.
  • Production experience with Databricks or a closely related cloud data platform.
  • Experience with CI/CD, environment promotion, version control, and deployment automation for data platforms and pipelines.
  • Strong knowledge of observability, monitoring, alerting, incident management, and reliability engineering.
  • Experience with compute policy design, workload isolation, service principals, and secure production execution.
  • Ability to operate in regulated or security-sensitive environments with strict access-control, auditability, and operational requirements.

Nice to have

  • Databricks certification or expertise with Delta Lake, Unity Catalog, Workflows, and Databricks Asset Bundles.
  • Experience with infrastructure as code and enterprise platform automation.
  • Experience supporting commercial and government or otherwise segregated environments.
  • Background in defense, aerospace, federal, or another regulated industry.

Culture & Benefits

  • Remote full-time employee position.
  • Collaboration with cloud infrastructure, security, data engineering, and analytics stakeholders.
  • Opportunity to scale Databricks operational knowledge beyond a small founding team.

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