Назад
Company hidden
23 часа назад

VP, Data Platform Engineering (Data Engineering)

366 000 - 400 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

VP, Data Platform Engineering (Data Engineering): Leading the global data engineering organization to build and operate scalable platforms and pipelines for personalization, analytics, and fraud prevention with an accent on high-volume transactional systems. Focus on defining the data strategy, evolving lake/warehouse architecture, and ensuring data governance and reliability at scale.

Location: San Francisco, CA (Hybrid). Employer does not offer work visa sponsorship for this position.

Salary: $366,000–$400,000

Company

hirify.global is a global leader in live event ticketing and e-commerce, processing more than $4B in annual transactions.

What you will do

  • Define and advance the global data engineering strategy and architecture in partnership with the CTO and senior leadership.
  • Own the roadmap for data platforms and pipelines, balancing analytics, personalization, fraud, and reporting needs.
  • Oversee the design and operation of scalable batch and real-time pipelines that serve data reliably across the business.
  • Lead the evolution of the data lake/warehouse architecture to ensure performance and cost-efficiency at high transaction volumes.
  • Establish and enforce data governance, quality, lineage, and security standards.
  • Build and empower a high-performing global data engineering team, fostering a culture of innovation and collaboration.

Requirements

  • 13+ years of experience in high-growth technology, including 7+ years leading data engineering or data platform teams at scale.
  • Experience building and operating high-volume data platforms for consumer-facing, e-commerce, or transactional systems.
  • Technical depth in modern data stacks: Snowflake, Redshift, BigQuery, Airflow, dbt, Kafka, and AWS.
  • Expertise in data pipeline architecture, observability, CI/CD, and SRE practices to ensure high reliability.
  • Proficiency with Oracle, DynamoDB, and designing systems for personalization and real-time decisioning.
  • Proven success leading distributed, diverse global teams and managing third-party vendors.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan, flexible spending, and health savings accounts.
  • Paid holidays, vacation, sick time, and parental leave.
  • Company-paid basic life insurance and voluntary life options.
  • Opportunities for professional development and education reimbursement.
  • Inclusive environment with various Employee Resource Groups (ERGs).

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →