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5 дней назад

Lead Data Engineer (Google Cloud)

143 400 - 168 650$
Формат работы
remote (только USA)
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

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TL;DR

Lead Data Engineer (Google Cloud): Architecting and building modern, cloud-native data platforms on Google Cloud with an accent on unified batch and streaming pipelines. Focus on optimizing BigQuery performance, implementing open table formats like Apache Iceberg, and establishing automated data governance practices.

Location: Remote (Must be based in the US)

Salary: $143,400 - $168,650 a year

Company

hirify.global is a data-first company leveraging Google Cloud and Salesforce to help clients drive impact through data and insights.

What you will do

  • Architect and optimize large-scale data platforms on Google Cloud using BigQuery as the analytical backbone.
  • Design and build unified batch and streaming pipelines for high-volume, mission-critical workloads.
  • Lead infrastructure-as-code practices to ensure repeatable, secure, and version-controlled environments.
  • Implement open table formats like Apache Iceberg to enable cross-cloud and cross-engine data interoperability.
  • Establish automated data quality, metadata, and lineage practices across the data estate using Dataplex and Data Catalog.
  • Mentor engineers, review designs, and define high engineering standards for the team.

Requirements

  • 7+ years in data engineering, including 2+ years in a lead or senior role on GCP platforms.
  • Advanced expertise in BigQuery architecture, including partitioning, clustering, and query tuning.
  • Strong hands-on experience with Dataflow (Apache Beam), Dataproc, and Pub/Sub.
  • Production experience developing and managing cloud infrastructure with Terraform.
  • Working knowledge of Apache Iceberg and its role in cloud interoperability.
  • Experience with Dataplex and Data Catalog for automated quality checks and column-level lineage.

Nice to have

  • Experience leading or mentoring data engineering teams.
  • Familiarity with CI/CD for data pipelines via Cloud Build or GitHub Actions.
  • Exposure to multi-cloud or hybrid data architectures.
  • Background in regulated industries such as healthcare or financial services.

Culture & Benefits

  • Comprehensive Health Insurance.
  • Generous paid time off, including vacation, sick, parental, and bereavement leave.
  • 401(k) employer match.
  • Employee referral bonuses.
  • Entrepreneurial environment focused on solving tough problems and continuous innovation.

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