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4 дня назад

Data Tech Lead Manager (Data Engineering)

208 800 - 438 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Data Tech Lead Manager (Data Engineering): Building and operating scalable realtime and batch data pipelines for a global video platform with an accent on distributed data processing, trusted datasets, and performance optimization. Focus on leading data engineering teams, designing modern data architectures, and solving reliability, scalability, privacy, and cost-efficiency challenges across large-scale video services.

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $208,800–$438,000 annually, plus potential bonuses, incentives, and restricted stock units.

Company

A USDS joint venture dedicated to protecting U.S. user data, strengthening data privacy and cybersecurity, and operating a secure content ecosystem for TikTok applications.

What you will do

  • Lead and manage data engineers, data analysts, and data SRE professionals.
  • Design, build, and operate scalable realtime and batch data pipelines for the video platform.
  • Optimize large-scale data processing systems for performance, reliability, scalability, and cost efficiency.
  • Define architecture standards covering data modeling, pipeline design, data quality, lakes, warehouses, and lakehouse patterns.
  • Own end-to-end delivery of data solutions from design through deployment, testing, and optimization.
  • Partner with product, business, and video SRE teams while defining metrics and ensuring data governance, privacy, and security compliance.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
  • 5+ years of experience building and scaling enterprise-grade data platforms, including 3+ years in engineering leadership or management.
  • Hands-on experience with Hadoop, HDFS, YARN, Spark, Flink, Hive, ClickHouse, or comparable distributed data technologies.
  • Strong SQL and Python skills for data processing and analytics.
  • Knowledge of data pipeline and workflow management tools such as Airflow or Luigi.
  • Must work onsite in San Jose, with an in-person schedule of up to 5 days per week.

Nice to have

  • Experience optimizing large-scale data systems for performance, efficiency, and cost reduction.
  • Experience in video streaming business.
  • Experience building data solutions with AWS, GCP, Azure, or other cloud services.
  • Ability to influence data strategy and align cross-functional teams.

Culture & Benefits

  • In-person collaboration focused on speed, alignment, decision-making, team development, and execution.
  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace committed to diversity, accessibility, and reasonable accommodations.

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