Lead Data Engineer

Vancouver · CAD 150,000-200,000 / year · 2+ years experience · Onsite · Posted Oct 19, 2026

At a glance

Kabam is a world leader in developing entertaining, immersive, and highly social multiplayer games, bringing high-quality graphics, next-generation technology, and revolutionary gameplay to players around the world.
Kabam’s games, Marvel Contest of Champions, Shop Titans, and more have generated hundreds of millions of downloads and have received multiple awards including Apple’s Editor’s Choice and Google Play’s Best Game of the Year.
Founded in 2006, Kabam has studios and offices in Vancouver & Montreal in Canada, and Los Angeles & San Francisco in the United States. Kabam is a wholly-owned subsidiary of Netmarble Games.
Kabam is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

Kabam is seeking a Lead Data Engineer to lead and manage the data engineering team while owning the data engineering roadmap.
In this role, you will design and evolve the data architecture, ensure data reliability and governance, and partner cross-functionally with analytics, data science, finance, and marketing.

Lead and manage the data engineering team, providing day-to-day direction, performance management, and development.
Own the data engineering roadmap and prioritise work against company and data priorities.
Provide technical mentorship and elevate quality through code and architectural reviews.
Resolve data-definition and implementation questions directly with backend and game leads.
Define and enforce model contracts, testing and certification so downstream teams can rely on the data.
Design and evolve the data architecture for reliability, consistency, and efficiency across lakehouse and medallion layers.
Evaluate and choose technologies and vendors based on value, risk, and migration cost.
Lead platform migrations and modernisation of legacy pipelines.
Accountable for data platform spend, including BigQuery and Databricks, and deliver cost and efficiency improvements.
Build and maintain data pipelines to a high engineering standard using dbt, orchestration tools, and devops principles.

Bachelor's degree in a related field, or equivalent experience.
7+ years in data engineering, including 2+ years leading engineers or owning a data platform.
Deep expertise in SQL and Python, and in data modelling (dimensional, medallion or lakehouse patterns).
Production experience with dbt and a cloud data warehouse (BigQuery preferred).
Experience defining data standards, contracts and testing frameworks.
A record of reducing cloud data cost at scale.
Strong grasp of CI/CD and data-ops practices.
Able to influence peers and stakeholders outside your reporting line.

Extended Health Coverage including health, dental, life, disability, and paramedical services
DEIB Benefits including gender-affirming care and fertility care
Flexible Spending Accounts with a flex credit model for RRSP/TFSA or health and personal spending accounts
RRSP Matching program after 90 days
Commuter Benefit via a flexible monthly cash allowance
Paid parental leave, flexible paid time off, volunteer time off, sick leave, and holiday closures
Employee and Family Assistance Program
Telus Virtual Health
Learning and growth support with education stipend and lunch and learns
Dedicated paid volunteer day off per year