Data Platform Engineering Manager

Kraken; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Kraken is seeking a Data Platform Engineering Manager to guide the development of real-time streaming infrastructure for its digital asset exchange. You will shape the architecture for high-volume, low-latency data systems and set the technology roadmap.

You will lead a remote team of platform engineers, champion ownership, and push AI-driven automation across data workflows to improve quality and throughput. This role operates in a fast-paced, collaborative environment.

Qualifications

• Proven experience leading data engineering teams.
• Strong background in cloud-native data platforms.
• Experience with real-time streaming technologies.
• Familiarity with AI-driven automation in data workflows.

Responsibilities

• Oversee architecture and roadmap for high-volume data systems.
• Lead remote platform engineers and promote ownership.
• Drive automation and AI-enabled data workflows.
• Collaborate with trading, risk, compliance, and analytics teams.

Job description

Kraken seeks a Data Platform Engineering Manager to lead the development of real-time streaming infrastructure for its digital asset exchange. This role is ideal for experienced leaders in data engineering and platform management with a strong background in cloud-native solutions and AI automation.

As a Data Platform Engineering Manager at Kraken, you will oversee the architecture and roadmap for high-volume, low-frequency data systems, focusing on technologies like Spark, Kafka, and Iceberg. Your leadership will drive the evolution of data lakes and warehouses to support trading, risk, compliance, and analytics teams in a fast-paced environment.

You will manage a remote team of platform engineers, fostering a culture of technical excellence and ownership. Your responsibilities will include adopting AI-driven automation in data workflows and collaborating with various teams to enhance data quality and pipeline orchestration, ultimately processing billions of events daily.