Назад
2 дня назад

Principal Data Engineer (Teamfight Tactics)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Data Engineer (Teamfight Tactics) (Python/Go/Spark/Scala/SQL): Building and operating scalable batch and near-real-time data systems for telemetry, player behavior, experimentation, insights, and player-facing features with an accent on data contracts, governance, reliability, and cost-efficient architecture. Focus on designing durable sources of truth, establishing observability and incident-management practices, and leading complex cross-team data engineering initiatives for a live-service game.

Location: Based out of the Los Angeles headquarters, United States

Company

Riot Games develops games and player experiences, including the live-service game Teamfight Tactics.

What you will do

  • Own the technical strategy, architecture, and roadmap for Teamfight Tactics' data ecosystem.
  • Design, build, and operate scalable batch and near-real-time systems for telemetry, player behavior, game operations, experimentation, insights, and player-facing features.
  • Establish data contracts, event schemas, metric definitions, instrumentation standards, and launch-readiness practices with engineering, product, design, insights, and data science partners.
  • Lead data modeling and warehouse architecture while creating durable, documented sources of truth.
  • Own reliability and operational health through data-quality checks, observability, alerting, runbooks, incident response, and root-cause analysis.
  • Set engineering standards, optimize costs, improve self-service tooling, mentor practitioners, and contribute to recruiting and technical interviewing.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 8+ years of experience in data engineering, software engineering, analytics engineering, or a related discipline, with principal-level scope.
  • Production experience designing, building, and operating large-scale data systems.
  • Hands-on expertise with Python, Go, Spark, Scala, SQL, Airflow, DBT, AWS or GCP, and Databricks.
  • Experience with data modeling, schema design, data contracts, lineage, governance, data quality, SLIs/SLOs, observability, incident management, and operational documentation.
  • Ability to lead complex multi-team initiatives, make architecture tradeoffs, communicate cross-functionally, and mentor senior engineers.

Nice to have

  • Experience building data systems for a live-service game or high-scale consumer product.
  • Experience with game instrumentation, telemetry, schemas, and launch readiness.
  • Experience using data to influence gameplay, product, feature, or live-operations decisions.
  • Familiarity with Teamfight Tactics, games, player behavior, and live-service operations.
  • Player empathy, product sense, and pragmatic judgment.

Culture & Benefits

  • Open paid time off policy and flexible work schedules.
  • Medical, dental, and life insurance.
  • Parental leave for employees, spouses or domestic partners, and children.
  • 401(k) with company match.
  • Collaborative environment focused on players, inclusion, and bringing diverse perspectives to the work.

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