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8 часов назад

Director, Platform Engineering (Data Lakehouse)

150 000 - 200 000$
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, Platform Engineering (Data Lakehouse): Leading the architecture, delivery, operations, reliability, and scalability of an enterprise Data Lakehouse platform with an accent on cloud infrastructure, governance, and self-service analytics. Focus on building high-performing engineering teams, managing SLAs and platform costs, enabling AI/ML and MLOps, and driving modernization across the data ecosystem.

Location: Remote – U.S.A.

Base salary: $150,000–$200,000 per year, with a possible discretionary incentive program and benefits for full-time employees.

Company

hirify.global delivers first-party data that helps businesses gain insights, activate audiences, and measure impact.

What you will do

  • Lead and grow a cross-functional team of engineers, architects, and data professionals.
  • Define enterprise Data Lakehouse platform capabilities based on business and analytics requirements.
  • Own platform SLAs, uptime, cost management, reliability, scalability, and quality standards.
  • Drive adoption of data engineering, governance, DevOps, and self-service analytics best practices.
  • Manage vendor relationships, licensing, and partnerships with AWS, Azure, and GCP providers.
  • Ensure compliance with data privacy, security, and regulatory requirements, including GDPR, CCPA, and HIPAA.

Requirements

  • 12+ years of experience in data engineering, architecture, or platform leadership.
  • 5+ years in a director or senior leadership role managing large technical teams.
  • Experience delivering enterprise-scale data platforms using Databricks, Snowflake, Delta Lake, or Apache Iceberg.
  • Strong knowledge of AWS, Azure, or GCP cloud infrastructure and the modern data stack.
  • Experience with data governance frameworks, data mesh, data product thinking, budget management, and P&L ownership.
  • Executive communication skills and the ability to influence cross-functional stakeholders; an MBA or advanced degree is preferred.

Nice to have

  • Experience with AI/ML platform enablement and MLOps.
  • AWS, Azure, or GCP Data Architect certification.
  • Databricks Platform Architect certification.

Culture & Benefits

  • Inclusive and accessible workplace with equal opportunity employment practices.
  • Accommodations are available throughout the selection process.
  • Full-time employment includes medical and other benefits.
  • A discretionary incentive program may be available in addition to base compensation.

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