Engineering Manager, Data Platform

TRM Labs
United States
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Coaching","Technical mentorship","Leadership","Cross-functional collaboration","Problem-solving"]

Lead a data infrastructure team building mission-critical services for analyzing blockchain transaction activity at petabyte scale. You’ll coach engineers, ensure quality and on-time delivery, and oversee reliability and performance of core data services. Drive roadmap execution with KPIs, design scalable data models, and improve real-time ETL pipelines and streaming workflows. Collaborate with data scientists, backend engineers, and product managers to ship highly available solutions integrating with numerous blockchains.

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FursaFursa
TRM Labs
TRM Labs
1 month ago

Engineering Manager, Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead a data infrastructure team building mission-critical services for analyzing blockchain transaction activity at petabyte scale. You’ll coach engineers, ensure quality and on-time delivery, and oversee reliability and performance of core data services. Drive roadmap execution with KPIs, design scalable data models, and improve real-time ETL pipelines and streaming workflows. Collaborate with data scientists, backend engineers, and product managers to ship highly available solutions integrating with numerous blockchains.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead and nurture a team of engineers, providing guidance across technical and cultural areas.
  • •Coach and mentor your team while contributing to the broader engineering department’s growth.
  • •Ensure quality and timely delivery while overseeing availability and performance of critical services.
  • •Drive projects toward measurable outcomes and KPIs, including resolving operational escalations and incidents.
  • •Architect data models and optimize real-time ETL pipelines and streaming workflows, including deploying and monitoring large-scale database clusters.

Key Requirements

  • •Bachelor’s degree (or equivalent) in Computer Science or a related field.
  • •5+ years’ experience conceiving and implementing distributed system architecture from ideation through production.
  • •Proficiency in Python and ability with SQL or SparkSQL.
  • •Experience across data engineering including data stores like ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.
  • •Hands-on data pipeline/orchestration, streaming, and infrastructure (e.g., Airflow/DBT/Luigi/Azkaban/Storm; Spark/Kafka/Flink; Docker/Terraform/Kubernetes/Datadog).
Experience:5+ yearsData engineeringDistributed systemsBlockchainStreaming dataPublic cloud
Education:Bachelor's in Computer Science
Skills:CoachingTechnical mentorshipLeadershipCross-functional collaborationProblem-solving
Tech Stack:PythonSQLSparkSQLClickHouseElasticSearchPostgresRedisNeo4jAirflowDBTLuigiAzkabanStormSparkKafkaFlinkDockerTerraformKubernetesDatadog

Company Brief

TRM Labs
Provides blockchain intelligence and crypto risk management solutions to help financial institutions, governments, and crypto firms detect fraud, trace illicit activity, and comply with regulatory requirements across digital asset ecosystems.
Industry: RegTech
Company Size: Large (251 to 1,000 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2018
WebsiteLinkedIn