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.