IT & Software

Data Platform Engineering Manager

Kraken

Remote · Nationwide · United Kingdom

Overview

In this role, you lead Kraken’s Data Platform team to design and scale real-time streaming and data infrastructure across trading, risk, compliance, and product domains. You own the architecture and roadmap for high-volume data systems and drive AI-powered automation to improve quality and reliability. You’ll partner with ML/AI, analytics, and product teams to accelerate data-driven decisions while evolving our data lake and warehouse. You’ll mentor engineers and shape a culture of technical excellence, ownership, and performance at scale.

Responsibilities
  • Lead and grow a team of senior data platform engineers
  • Own architecture and roadmap for high-volume data systems (Spark, Kafka, Iceberg, RisingWave, Flink)
  • Design scalable data architecture serving trading, risk, compliance, analytics, and product teams
  • Drive AI-powered automation and intelligent workflows (quality checks, orchestration, anomaly detection, self-healing infra)
  • Partner with ML/AI, analytics, and product engineering to deliver platform capabilities
  • Evolve data-lake and warehouse architecture for batch and streaming workloads
  • Set technical direction balancing reliability, speed, and cost at scale
  • Hire, mentor, and retain top-tier engineers; foster ownership and technical excellence
Key requirements
  • 8+ years in data engineering, platform engineering, or distributed systems
  • 3+ years managing engineering teams
  • Experience building data-lakes in AWS (Spark, Athena, Iceberg, Parquet, Presto)
  • Strong expertise in real-time data at scale (Kafka, Spark Streaming, Debezium, CDC)
  • Ability to manage competing priorities across stakeholders
  • Strong communicator for technical and non-technical audiences
  • Experience designing/adopting AI/ML-powered automation in data workflows
  • Proficiency in Python, Scala, or Java in production data platforms
  • Experience with cloud-native data infrastructure (AWS Glue, Athena, S3, EMR, Lambda)
  • Track record of managing and developing remote engineering teams
  • Ability to translate long-term platform vision into executable quarterly roadmaps
  • Servant-leadership style; coach and unblock engineers
  • AI-ready to 10X team efficiency and output
  • strong communication
  • leadership and mentorship
  • stakeholder management
  • Spark
  • Kafka
  • Iceberg

Reference: WJ-747_30160764

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