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Requirements and responsibilities
What makes us different?Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app.As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages.The teamKraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation—processing billions of events daily across trading, compliance, and product systems.This role leads the team responsible for Kraken's streaming and data platform layer—designing systems that move, transform, and serve data in real time. You’ll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on.The opportunityLead and grow a team of senior data platform engineers building Kraken's real-time streaming infrastructureOwn the architecture and roadmap for high-volume low-frequency data systems, with focus on data stack like Spark, Kafka, Iceberg, RisingWave, Apache FlinkDesign and operate scalable data architecture that serve trading, risk, compliance, analytics and many product teamsDrive adoption of AI automation and intelligent workflows—automating data quality checks, pipeline orchestration, anomaly detection, and self-healing infrastructurePartner with ML/AI, analytics, and product engineering teams to deliver platform capabilities that accelerate their workEvolve Kraken's data-lake and warehouse architecture to support both batch and streaming workloads seamlesslySet technical direction for the team—balancing reliability, velocity, and cost efficiency at scaleHire, mentor, and retain top-tier platform engineers; build a culture of ownership and technical excellenceSkills you should HODL8+ years in data engineering, platform engineering, or distributed systems—with at least 3 years managing engineering teamsExperience 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 toolingStrong expertise in building and operating real-time data at scale including Kafka, Spark Streaming, Debezium, and CDC pipelinesProven ability to manage competing priorities across multiple stakeholder groups—aligning platform investments with the needs of product, finance, compliance, analytics, and other teamsStrong communicator—able to explain risks, trade-offs, and roadmap decisions to both senior technical audiences and non-specialist stakeholdersExperience designing or adopting AI/ML-powered automation in data workflows—pipeline orchestration, intelligent monitoring, automated remediation, or LLM-integrated toolingProficiency in Python, Scala, or Java in a production data platform contextSolid 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 teamsAbility to translate long-term platform vision into executable quarterly roadmapsServant-leadership style—you coach, unblock, and grow your engineersAI-ready to 10X the team efficiency and overall outputNice to havesExperience with RisingWave and/or Clickhouse specifically—either in production or in serious evaluationFamiliarity with LLM-based agents or AI workflow frameworks (e.g. LangChain, LangGraph, custom orchestration)Background in cryptocurrency, trading systems, or high-throughput financial dataExperience building self-service data platform tooling for internal engineering consumersContributions to open-source streaming or data infrastructure projectsAdditional informationUnless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.We hire strictly based on merit, and we encourage you to apply even if you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. Assessment results are considered alongside other relevant information, such as experience and interviews.As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind.
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