Data Platform Engineering Manager

Job Description

• Building the Future of Crypto
• Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
• What makes us different?
• Kraken is a mission-focused company rooted in crypto values.
• As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.
• For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.
• 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.
• Learn how to create a Kraken account here.
• As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages.
• Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space.
• Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.
• Become a Krakenite and build the future of crypto!
• Proof of work
• The team
• Krakens Data Platform team builds the real-time infrastructure that powers decision-making across one of the worlds 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 Krakens streaming and data platform layer — designing systems that move, transform, and serve data in real time.
• Youll 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 opportunity
• Lead and grow a team of senior data platform engineers building Krakens 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 Krakens 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

Skills You Should HODL

• 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
• AI-ready to 10X the team efficiency and overall output.
• Nice to haves
• Experience with RisingWave and/or Clickhouse specifically — either in production or in serious evaluation
• Familiarity with LLM-based agents or AI workflow frameworks (e.g. LangChain, LangGraph, custom orchestration)
• Background in cryptocurrency, trading systems, or high-throughput financial data
• Experience building self-service data platform tooling for internal engineering consumers
• Contributions to open-source streaming or data infrastructure projects
• *Unless 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.*
• Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives.
• We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job.
• We encourage you to apply for roles where you dont fully meet the listed requirements, especially if youre passionate or knowledgable about crypto!
• We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process.
• These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions.
• Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.
• As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind.
• Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
• Stay in the know
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• Learn on the Kraken Blog
• Connect on LinkedIn

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