6 дней назад
Director, Data Engineering - GCP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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