Lead, Real-Time Data Platform Engineering

Kraken; United States; Remote; USD 150,000 - 200,000; Full time

Job summary

Kraken is looking for a leader for its Data Platform team to develop real-time streaming infrastructure crucial for decision-making in digital asset trading. The role demands expertise in data engineering, AI automation, and managing engineering teams in a high-volume environment. Applicants should have a solid background in AWS and strong leadership skills to architect scalable systems and mentor top-tier engineers. The opportunity also includes driving innovative automation workflows across diverse product teams.

Qualifications

• 8+ years in data engineering, platform engineering, or distributed systems.
• Experience in managing engineering teams for at least 3 years.
• Strong expertise in real-time data processing and building data lakes.

Responsibilities

• Lead a team of senior data platform engineers.
• Own architecture for high-volume low-frequency data systems.
• Drive adoption of AI automation across the data stack.
• Partner with ML/AI, analytics, and product engineering teams.

Skills

Data engineering

Platform engineering

Distributed systems

Leadership

Real-time data processing

Data lakes in AWS

Kafka

Python

AI/ML automation

Communication

Education

Bachelor's degree in a relevant field

Tools

AWS

Spark

Kafka

RisingWave

Job description

Kraken is looking for a leader for its Data Platform team to develop real-time streaming infrastructure crucial for decision-making in digital asset trading. The role demands expertise in data engineering, AI automation, and managing engineering teams in a high-volume environment. Applicants should have a solid background in AWS and strong leadership skills to architect scalable systems and mentor top-tier engineers. The opportunity also includes driving innovative automation workflows across diverse product teams.