Data Platform Engineering Manager

🕒 Abril 24

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Kraken Digital Asset Exchange

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

₿ Cripto

💸 Finanças

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange é uma plataforma de criptomoedas que facilita a compra e venda de mais de 200 criptomoedas, incluindo Bitcoin, Ethereum e muitas outras. Fundada em 2011, a Kraken oferece um conjunto abrangente de recursos para traders iniciantes e avançados, como interfaces avançadas de trading e negociação com margem. A plataforma enfatiza segurança líder do setor, alta liquidez e suporte ao cliente 24/7, tornando-se uma escolha confiável para usuários no mundo todo. A Kraken atende tanto investidores individuais quanto clientes institucionais, oferecendo serviços como negociação de balcão (OTC) e custódia. A empresa é comprometida com a transparência por meio de sua prova de reservas e de valores orientados pela missão. A Kraken opera globalmente, atendendo clientes em mais de 190 países, com volume de negociação trimestral superior a US$ 207 bilhões. No entanto, os usuários devem estar cientes do alto risco dos investimentos em criptomoedas e da falta de regulamentação em algumas jurisdições.

Descrição

• 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

🎯 Requisitos

• 8+ years in data engineering, platform engineering, or distributed systems — with at least 3 years managing engineering teams • Experience and knowledge of building data-lakes in AWS (i.e. Spark, Athena, Iceberg, Parquet, Presto), including data modeling, data quality best practices, and self-service tooling. • 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 — aligning platform investments with the needs of product, finance, compliance, analytics, and other teams • Strong communicator — able to explain risks, trade-offs, and roadmap decisions to both senior technical audiences and non-specialist stakeholders. • Experience designing or adopting AI/ML-powered automation in data workflows — pipeline orchestration, intelligent monitoring, automated remediation, or LLM-integrated tooling • 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 — you coach, unblock, and grow your engineers

🏖️ Benefícios

• Wellness allowance • Medical insurance • Dental insurance • Vision insurance • 401(k)