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data engineering distributed systems airflow kafka real-time data processing📋 Description
- Lead Data Software Engineering team, building scalable data platforms.
- Deliver a scalable, self-service data platform for 100M+ players.
- Oversee data ingestion, analytics SDKs, APIs, and ML infra.
- Ensure reliability, cost-efficiency, and developer experience.
- Champion observability, data design, and governance.
- Collaborate with Data Science, Analytics, and Game teams to enable experimentation.
🎯 Requirements
- Proven leadership of data or software engineering teams.
- Deep expertise in distributed data processing and APIs.
- Experience with pub/sub (Kafka, Redpanda, Pulsar) and workflow orchestration (Airflow, Dagster).
- Cloud-native architecture across AWS, GCP, or Azure.
- Strong ML infrastructure knowledge enabling ML engineers and data scientists.
- Ability to balance long-term architectural vision with rapid delivery cycles.
- Excellent communication and cross-functional influence skills.
- Commitment to data quality, observability, and governance.
🎁 Benefits
- Impactful work changing how game studios operate.
- Inclusive culture that values diversity, belonging, and growth.
- Collaboration with a seasoned, high-impact team.
- Fortis is an Equal Opportunity Employer.
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