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Data Platform Engineering Manager
KKraken — United States🇺🇸
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
Originally posted on Himalayas
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