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Data Platform Engineering Manager

Job Overview

Location

United States

Job Type

Full-time

Category

Engineering

Date Posted

April 26, 2026

Full Job Description

đź“‹ Description

  • • 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

🎯 Requirements

  • • 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

🏖️ Benefits

  • • Fully remote work with global team across 70+ countries
  • • Opportunity to work on mission-driven crypto technology with global impact
  • • Access to cutting-edge data infrastructure and AI-powered automation tools
  • • Collaborative culture focused on technical excellence and ownership
  • • Professional growth through mentoring high-performing engineers
  • • Exposure to diverse, international team speaking over 50 languages
  • • Commitment to industry-leading security, crypto education, and client support
  • • Equal opportunity employer with inclusive hiring practices

Skills & Technologies

Python
Java
Scala
AWS
REST
Remote

Ready to Apply?

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About Kraken

Kraken is a global cryptocurrency exchange established in 2011, offering spot and futures trading for Bitcoin, Ethereum and 200+ digital assets. Headquartered in San Francisco with entities worldwide, it serves retail and institutional clients, providing custody, staking, an NFT marketplace and OTC desk. The platform emphasizes security, regulatory compliance and educational resources.

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