Назад
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2 дня назад

Lead Data Engineer (Gaming)

150 000 - 200 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (Gaming) (GCP/Databricks/dbt): Owns and evolves Kabam’s central data platform, from game telemetry standards through certified data layers supporting analytics, finance, data science, and AI tools, with an accent on reliability, governance, cost efficiency, and scalable architecture. Focus on leading the data engineering team, designing lakehouse and medallion layers, modernizing pipelines, and maintaining data quality across petabyte-scale workloads.

Location: On-site, 5 days a week at the Downtown Vancouver studio, Vancouver, Canada.

Salary: $150,000–$200,000 CAD per year; the listed range applies specifically to candidates located in Vancouver.

Company

hirify.global develops immersive, social multiplayer games, including Marvel Contest of Champions and Shop Titans.

What you will do

  • Lead and manage the data engineering team, including day-to-day direction, performance management, development, mentoring, and architectural reviews.
  • Own the data engineering roadmap and central data platform, prioritizing work against company and data priorities.
  • Define data standards, model contracts, testing, certification, governance, lineage, documentation, access control, retention, and privacy compliance.
  • Design and evolve lakehouse and medallion data architecture across GCS, Databricks, and BigQuery, and lead platform migrations and legacy pipeline modernization.
  • Build and maintain reliable data pipelines with dbt, orchestration tools, CI/CD, and data-ops practices; own SLAs, monitoring, incident response, quality alerting, and technical debt prioritization.
  • Partner with backend, game, analytics, finance, marketing, data science, and external data vendors to deliver data products and improve data-driven decision-making.

Requirements

  • Bachelor’s degree in a related field or equivalent experience.
  • 7+ years of data engineering experience, including 2+ years leading engineers or owning a data platform.
  • Deep expertise in SQL, Python, and data modeling using dimensional, medallion, or lakehouse patterns.
  • Production experience with dbt and a cloud data warehouse, preferably BigQuery.
  • Experience defining data standards, contracts, and testing frameworks.
  • Demonstrated record of reducing cloud data costs at scale.
  • Strong understanding of CI/CD and data-ops practices.
  • Ability to influence peers and stakeholders outside the reporting line.

Nice to have

  • GCP experience, including BigQuery, Dataplex, and GKE.
  • Experience with Databricks or Spark.
  • Game or mobile telemetry experience, including monetization, advertising, or user acquisition data.
  • Experience supporting data science, ML, or AI analytics workloads.

Culture & Benefits

  • Collaborative, diverse, inclusive, and fun-loving culture focused on building high-quality games.
  • Extended health, dental, life, disability, paramedical, mental health, gender-affirming, and fertility coverage from day one.
  • Flexible spending accounts, group RRSP/TFSA options, and RRSP matching after 90 days.
  • Paid time off, parental leave, sick leave, holiday closures, and paid volunteering time.
  • Commuter benefit, employee and family assistance program, Telus Virtual Health, education stipend, and learning sessions.
  • On-site offices in Vancouver, Montreal, Los Angeles, and San Francisco, with practical support for in-person work.

Hiring process

  • Applications are reviewed as part of the hiring process, which may include AI-supported application, resume, or response analysis.
  • Final hiring decisions are made by people.

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