Director, Data Engineering

Added
5 days ago
Type
Full time
Salary
Salary not provided

Related skills

airflow kafka iceberg clickhouse flink

📋 Description

  • Lead the game-wide data platform powering real-time analytics and personalization.
  • Achieve a scalable, self-service data platform for 100M+ players with sub-100ms ingestion latency.
  • Oversee Data Engineering groups handling ingestion, analytics SDKs, APIs, and ML infra.
  • Collaborate with Data Science, ML, Analytics, and Game Dev to deliver scalable data services.
  • Champion reliability, scalability, and developer experience across Fortis studios.
  • Ensure data privacy and GDPR/CCPA compliance across standards.

🎯 Requirements

  • Proven leadership of data or software engineering teams building large-scale, real-time data systems.
  • Deep technical expertise in distributed data processing, event streaming, and API design.
  • Experience with pub/sub messaging systems (Kafka, Redpanda, Pulsar) and workflow orchestration (Airflow, Dagster).
  • Cloud-native architecture proficiency across AWS, GCP, or Azure.
  • Strong understanding of ML infrastructure and pipelines enabling ML engineers and data scientists.
  • Excellent communication and cross-functional influence.

🎁 Benefits

  • Shape data-driven personalization across millions of players.
  • Inclusive culture that celebrates diversity and belonging.
  • Collaborate with a seasoned team of experienced talent.
  • Equal Opportunity Employer; commitment to non-discrimination.
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