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5 дней назад

GCP Data Platform Product Owner

Формат работы
hybrid
Тип работы
fulltime
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

GCP Data Platform Product Owner: Defining and delivering enterprise-scale data platform capabilities on Google Cloud Platform (GCP) with an accent on data ingestion, processing, and analytics. Focus on delivering scalable, secure, and high-performing data solutions.

Location: Hybrid in Charlotte, NC

Company

hirify.global provides staffing services.

What you will do

  • Define and own the product roadmap for the GCP Data Platform.
  • Translate business needs into scalable platform features and technical requirements.
  • Prioritize and manage the product backlog in alignment with strategic objectives.
  • Partner with engineering teams to deliver data platform solutions, including ETL/ELT pipelines and analytics capabilities.
  • Drive adoption and enablement of GCP-native services.
  • Communicate product strategy, roadmap, and progress to senior leadership and cross-functional teams.

Requirements

  • 10+ years of experience in data management, data engineering, data platforms, or analytics.
  • 5+ years of Product Owner or Product Management experience, including roadmap development and backlog management.
  • 5+ years of experience delivering enterprise data solutions on cloud or big data platforms (GCP, Hadoop, Spark, or similar).
  • 3+ years of experience in data architecture or cloud-based data platform design.
  • Strong experience with ETL/ELT processes, data ingestion, and transformation pipelines.
  • Proven ability to work in Agile environments and manage competing priorities.

Nice to have

  • Hands-on experience with GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, and Cloud Composer.
  • Knowledge of data governance frameworks, IAM, and enterprise security practices.
  • Experience supporting large-scale data platforms or data lake implementations.
  • Strong stakeholder management, communication, and influencing skills.
  • Ability to translate complex technical concepts into clear business value.

Culture & Benefits

  • Supports enterprise data transformation initiatives.
  • Requires close collaboration across business and technology teams.
  • Experience in change implementation or transformation programs is highly desirable.

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