Data Platform Engineering Manager

About the role

Kraken’s Data Platform team is looking for a senior leader to own and evolve the real‑time streaming infrastructure that powers one of the world’s largest digital‑asset exchanges. You will guide a group of senior engineers, define the architecture for high‑volume data pipelines, and drive AI‑powered automation across the data stack.

Key responsibilities

• Lead and grow a team of senior data platform engineers building Kraken’s streaming infrastructure.
• Own the architecture and roadmap for high‑volume, low‑latency data systems, focusing on technologies such as Spark, Kafka, Iceberg, RisingWave, and Apache Flink.
• Design and operate scalable data architectures that serve trading, risk, compliance, analytics, and product teams.
• Drive adoption of AI automation for 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 balancing reliability, velocity, and cost efficiency at scale.
• Hire, mentor, and retain top‑tier platform engineers, fostering a culture of ownership and technical excellence.

Required profile

• 8+ years of experience in data engineering, platform engineering, or distributed systems.
• At least 3 years of experience managing engineering teams.
• Strong background building data‑lakes on AWS, including data modeling, data quality best practices, and self‑service tooling.
• Proven ability to manage competing priorities across multiple stakeholder groups.

Required skills

• RisingWave
• Apache Flink
• Spark (including Spark Streaming)
• Kafka
• Iceberg
• AWS (Athena, Parquet, Presto)
• Debezium and CDC pipelines