TeamKraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation — processing billions of events daily across trading, compliance, and product systems.
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This role leads the team responsible for Kraken's streaming and data platform layer — designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on.
Opportunity
- Lead and grow a team of senior data platform engineers building Kraken's real-time streaming infrastructure
- Own the architecture and roadmap for high-volume low-frequency data systems, with focus on data stack like Spark, Kafka, Iceberg,
RisingWave, Apache Flink
- Design and operate scalable data architecture that serves trading, risk, compliance, analytics and many product teams.
- Drive adoption of AI automation and intelligent workflows — automating data quality checks, pipeline orchestration, anomaly detection, and self-healing infrastructure
- Partner with ML/AI, analytics, and product engineering teams to deliver platform capabilities that accelerate their work
- Evolve Kraken's data‑lake and warehouse architecture to support both batch and streaming workloads seamlessly
- Set technical direction for the team — balancing reliability, velocity, and cost efficiency at scale
- Hire, mentor, and retain top‑tier platform engineers; build a culture of ownership and technical excellence
Skills You Should HODL
- 8+ years in data engineering, platform engineering, or distributed systems — with at least 3 years managing engineerin
📌 Data Platform Engineering Manager (España)
🏢 Kraken
📍 España