Data Platform Engineering Manager

📋 Description Lead and grow a team of senior data platform engineers building Kraken's real-time streaming infra. Own architecture and roadmap for high-volume data systems (Spark, Kafka, Iceberg, Flink). Design and operate scalable data architecture serving trading, risk, analytics, and product teams. Drive AI automation for data workflows: data quality checks, orchestration, anomaly detection. Partner with ML/AI, analytics, and product teams to accelerate platform work. Evolve Kraken's data-lake and warehouse architecture to support batch and streaming workloads. 🎯 Requirements 8+ years in data/platform engineering or distributed systems, with at least 3 years managing teams. Experience building AWS data lakes (Spark, Athena, Iceberg, Parquet, Presto) with data modeling and quality tooling. Strong expertise building real-time data at scale: Kafka, Spark Streaming, Debezium, and CDC pipelines. Proficiency in Python, Scala, or Java in production data platforms. Cloud-native data infra (AWS preferred: Glue, Athena, S3, EMR, Lambda). Track record of managing, recruiting, and developing high-performing remote engineering teams.