Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
150к-200к CAD/год
190к CAD220к CADмедиана270к CAD
По похожим ролям (49) ~ 220к CAD/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.9к)
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Хорошая вакансия
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Роль четко описана и дает возможность руководить современной платформой данных в известной игровой студии, но зарплата заметно ниже рыночного ориентира, а обязательная работа в офисе пять дней в неделю снижает гибкость.
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Ниже рынкаТолько офисСовременный стекЧеткая зона ответственностиХороший соцпакетИгровая индустрия
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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