Назад
Company hidden
4 дня назад

Principal Solutions Architect (Big Data)

137 102 - 246 784$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Principal Solutions Architect (Big Data): Designing and modernizing large-scale data platforms and distributed systems with an accent on automated data pipelines, cloud architecture, and data governance. Focus on improving performance, scalability, resiliency, and cost efficiency while resolving cross-team technical decisions and mentoring architects and engineers.

Location: United States; hybrid role requiring residence in or near a designated collaboration hub: Costa Mesa, San Jose, Allen, Austin, Franklin, New York, Schaumburg, Washington, Atlanta, Boston, or Seattle.

Salary: $137,102–$246,784

Company

hirify.global is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance.

What you will do

  • Define end-to-end architecture for large-scale data platforms and distributed systems.
  • Design and develop automated custom data pipelines using Apache Spark, Trino, or similar Big Data technologies.
  • Establish architecture practices for data ingestion, transformation, storage, and data usage.
  • Improve performance, scalability, resiliency, and cost efficiency across data platforms.
  • Partner with Product, Engineering, Security, Cloud, and Architecture teams to modernize legacy workflows and develop technical solutions.
  • Lead architecture reviews, resolve cross-team technical decisions, define data governance and observability practices, and mentor architects and engineers.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent experience; a Master's degree is preferred.
  • 8+ years of experience in software engineering, data engineering, or technology architecture.
  • 5+ years of hands-on experience with Big Data technologies and large-scale distributed data processing.
  • Experience designing enterprise-scale data platforms, distributed systems, and automated data pipelines.
  • Experience with cloud environments and expertise in Python, Java, Scala, or SQL.
  • Must reside in or near one of the designated US collaboration hubs.

Culture & Benefits

  • Hybrid collaboration model focused on working with colleagues in person at designated hubs.
  • Purpose-driven, inclusive, and people-first culture.
  • Opportunities to work with advanced technologies and data-driven products across multiple industries.
  • Permanent, full-time position within the Technology department.

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 →