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6 дней назад

Director, Data Engineering - GCP

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Director, Data Engineering - GCP (GCP/Generative AI): Leading the Google Cloud data engineering function and delivering enterprise data platforms with an accent on modern data architecture, real-time analytics, governance, and AI/ML enablement. Focus on designing scalable ingestion and lakehouse architectures, building vector search and RAG infrastructure, and leading engineering teams through secure, reliable delivery.

Location: Toronto, Ontario, Canada; remote workplace

Company

hirify.global helps clients improve employee and customer experiences through digital transformation and technology delivery.

What you will do

  • Lead the technical vision and standards for the GCP Data Engineering functional practice.
  • Oversee the design and deployment of enterprise data platforms using BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, and Cloud Storage.
  • Partner with Data Science and AI teams to build production pipelines, vector search infrastructure, and retrieval-augmented generation workflows.
  • Lead data governance, security, compliance, lineage, metadata management, and access-control initiatives.
  • Act as a GCP Data subject-matter expert in pre-sales, client workshops, and enterprise delivery engagements.
  • Manage, mentor, and scale an agile team while driving hiring, development, certifications, and performance management.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • 10+ years of experience in data engineering and enterprise architecture, including 5+ years managing agile engineering teams.
  • 4+ years of hands-on experience designing production data solutions on Google Cloud, including BigQuery, Dataflow, Pub/Sub, Cloud Composer or Airflow, Dataproc, and Cloud Storage.
  • Advanced SQL and Python skills, with experience building LLM data pipelines, vector search indexes, and Generative AI workflows.
  • Experience with modern data modeling, ELT/ETL, real-time streaming, Medallion or Lakehouse architectures, Apache Beam, PySpark, and NoSQL databases.
  • Strong knowledge of Terraform, CI/CD, IAM, KMS, Knowledge Catalog governance, data security, stakeholder management, and executive communication.

Nice to have

  • Google Cloud Professional Data Engineer certification.

Culture & Benefits

  • Remote workplace arrangement.
  • Opportunity to work on business-critical data platforms, advanced analytics, AI/ML, and enterprise digital transformation projects.
  • Leadership focus on mentoring, professional development, and Google Cloud certification pathways.

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