5 дней назад
GCP Data Platform Product Owner
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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