Kraken

3 months ago

Data Platform Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead a senior data platform engineering team responsible for Kraken’s real-time streaming infrastructure. Own the architecture and roadmap for high-volume data systems (Spark, Kafka, Iceberg, RisingWave, Flink), design scalable data architectures for trading, risk, and analytics, and drive AI-powered automation across the data stack while collaborating with ML/AI and product teams.

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•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 data systems (Spark, Kafka, Iceberg, RisingWave, Apache Flink)
•Design and operate scalable data architecture that serves 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

Key Requirements

•8+ years in data engineering, platform engineering, or distributed systems, with at least 3 years in engineering-team management
•Experience and knowledge of building data-lakes in AWS (Spark, Athena, Iceberg, Parquet, Presto), including data modeling and data quality practices
•Strong expertise in building and operating real-time data at scale (Kafka, Spark Streaming, Debezium, CDC pipelines)
•Proficiency in Python, Scala, or Java in production data platform context
•Solid understanding of cloud-native data infrastructure (AWS preferred — Glue, Athena, S3, EMR, Lambda) and remote engineering team leadership

Experience:Data engineeringDistributed systemsCloud

Skills:CommunicationLeadershipProblem-solving

Tech Stack:PythonScalaJavaKafkaSparkFlinkRisingWaveIcebergParquetPrestoDebeziumCDCAWSS3GlueEMRLambdaSpark StreamingLLMLangChain

Company Brief

Kraken

Kraken (Payward, Inc.) is a global cryptocurrency exchange and financial infrastructure provider offering spot and derivatives trading, staking, custody, tokenized assets and institutional services to retail and institutional clients.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2011

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Kraken

3 months ago

Data Platform Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•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 data systems (Spark, Kafka, Iceberg, RisingWave, Apache Flink)
•Design and operate scalable data architecture that serves 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

Key Requirements

•8+ years in data engineering, platform engineering, or distributed systems, with at least 3 years in engineering-team management
•Experience and knowledge of building data-lakes in AWS (Spark, Athena, Iceberg, Parquet, Presto), including data modeling and data quality practices
•Strong expertise in building and operating real-time data at scale (Kafka, Spark Streaming, Debezium, CDC pipelines)
•Proficiency in Python, Scala, or Java in production data platform context
•Solid understanding of cloud-native data infrastructure (AWS preferred — Glue, Athena, S3, EMR, Lambda) and remote engineering team leadership

Experience:Data engineeringDistributed systemsCloud

Skills:CommunicationLeadershipProblem-solving

Tech Stack:PythonScalaJavaKafkaSparkFlinkRisingWaveIcebergParquetPrestoDebeziumCDCAWSS3GlueEMRLambdaSpark StreamingLLMLangChain

Company Brief

Kraken

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2011

Glassdoor: 4.2

Website LinkedIn Glassdoor