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2 дня назад

Director, Data Engineering

180 000 - 190 000$
Формат работы
onsite
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

Текст:
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TL;DR
Director, Data Engineering (Data Platforms): Owns the strategic architecture roadmap and builds scalable data lakes, warehouses, pipelines, and real-time processing systems with an accent on reliability, governance, and security. Focus on leading data engineering teams, integrating cloud technologies, and designing platforms that support analytics, ML engineering, and product use cases.

Location: San Francisco, California, United States; in-person

Salary: $180,000–$190,000 median annual compensation for senior-level data engineering leaders; top-of-market packages may reach $440,000.

Company

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

What you will do

  • Own the strategic roadmap for data platform architecture and engineering as data volume and complexity grow.
  • Lead, mentor, hire, and develop data engineering teams while setting technical direction and delivery standards.
  • Design and operate data pipelines, warehouses, lakehouses, and real-time processing systems for analytics, ML, and product teams.
  • Partner with data science, analytics, ML engineering, and product stakeholders to align platform capabilities with downstream needs.
  • Establish data governance, quality, security, schema, metadata, and access-control practices.
  • Evaluate cloud services and data technologies, and own platform monitoring, incident response, reliability, and optimization.

Requirements

  • 8+ years of data engineering experience, including at least 3 years in a leadership or architectural role.
  • Hands-on experience building and operating large-scale data systems in AWS, GCP, Azure, or equivalent cloud environments.
  • Strong SQL skills and proficiency in at least one of Python, Scala, Java, or Go.
  • Experience with modern data tools such as Spark, dbt, Airflow, Kafka, Snowflake, BigQuery, or equivalent technologies.
  • Proven ability to define scalable data governance, quality, and security practices.
  • Excellent communication skills and the ability to explain technical complexity to non-technical stakeholders.

Culture & Benefits

  • Permanent, in-person leadership opportunity.
  • Candidate-network process for future relevant opportunities rather than one specific current opening.
  • Focus on operational excellence, continuous improvement, and accountable delivery.

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