Data Platform Engineering Manager
New
K
KrakenFinTech
United KingdomFull-TimeManager
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years in data engineering, platform engineering, or distributed systems — with at least 3 years managing engineering teams
- Required Skills
- AWSPythonJavaKafkaSparkScalaAWS Lambda
Requirements
- 8+ years in data engineering, platform engineering, or distributed systems
- 3+ years managing engineering teams
- Experience and knowledge of building data-lakes in AWS (Spark, Athena, Iceberg, Parquet, Presto)
- Strong expertise in building and operating real-time data at scale including Kafka, Spark Streaming, Debezium, and CDC pipelines
- Proven ability to manage competing priorities across multiple stakeholder groups
- Strong communicator
- Experience designing or adopting AI/ML-powered automation in data workflows
- Proficiency in Python, Scala, or Java in a production data platform context
- Solid understanding of cloud-native data infrastructure (AWS preferred — Glue, Athena, S3, EMR, Lambda, or equivalents)
- Track record of managing, recruiting, and developing high-performing remote engineering teams
- Ability to translate long-term platform vision into executable quarterly roadmaps
- Servant-leadership style
- AI-ready to 10X the team efficiency and overall output
Responsibilities
- 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 serve 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
View Full Description & ApplyYou'll be redirected to the employer's site
