Data Platform Engineering Manager
Indexed description
Kraken is seeking a Data Platform Engineering Manager to lead the team responsible for building the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges.
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
- Generous Paid Time Off - 401k Matching - Retirement Plan - Visa Sponsorship - Four Day Work Week - Generous Parental Leave - Tuition Reimbursement - Relocation Assistance
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