Team
Kraken'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.
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 engineering teams
Experience and knowledge of building data‑lakes in AWS (i.e. Spark, Athena, Iceberg, Parquet, Presto), including d
📌 Data Platform Engineering Manager (Madrid)
🏢 Kraken
📍 Madrid