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.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!