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4 дня назад

Director, Data Engineering (AI)

220 000 - 440 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Director, Data Engineering (AI): Designing and delivering enterprise data platforms and pipelines for analytics, AI/ML workloads, and real-time decision-making with an accent on cloud migration, data governance, and platform reliability. Focus on leading data engineering teams, modernizing data infrastructure, and balancing performance, cost, maintainability, and security at production scale.

Location: United States · Remote

Compensation range: $220,000–$440,000 annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

  • Own the design, architecture, and delivery of enterprise data platforms and pipelines supporting analytics, AI/ML workloads, and real-time decision-making.
  • Lead and mentor data engineering teams, establishing technical standards, code review practices, and career development paths.
  • Partner with data science, analytics, and business stakeholders to translate requirements into scalable and maintainable data solutions.
  • Drive cloud migration, data warehouse consolidation, and real-time data mesh modernization initiatives.
  • Build data governance, quality, security, monitoring, alerting, and incident response frameworks.
  • Align data platform strategy with broader AI and business transformation roadmaps.

Requirements

  • 8+ years of hands-on data engineering experience, including at least 3 years in a lead or senior individual contributor role owning platform architecture and team scope.
  • Deep experience with modern data stack tools, including Snowflake, BigQuery, Redshift, Airflow, dbt, Dagster, Kafka, and Spark.
  • Experience designing and scaling production data infrastructure for AI/ML and analytics workloads, including data quality and governance.
  • Experience leading or growing engineering teams, mentoring engineers, and setting technical direction.
  • Strong systems thinking across performance, cost, maintainability, and security trade-offs.
  • Clear communication skills for explaining technical architecture to non-technical stakeholders and cross-functional peers.

Culture & Benefits

  • Permanent remote work arrangement in the United States.
  • Future-opportunity candidate network rather than a single currently open position.
  • Potential roles span IT services, financial services, technology, healthcare, and manufacturing.

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