Data Platform Engineering Manager

🌍 УдалённоSeniorПолная занятость🌐 Глобал

Зарплата не указана

Есть о чём спросить

Навык востребован (python). Но вилки нет, про деньги придётся договариваться с нуля.

Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken'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.

Чем предстоит заниматься

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

Наши требования

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

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

Our commitment

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where 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. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision

Stay connected

Learn on the Kraken Blog

Connect on LinkedIn

Candidate Privacy Notice