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TRM Labs

Engineering Manager, Data Platform

TRM Labs

. Lead and nurture a team of high-impact engineers, offering guidance in both technical and cultural aspects.

Posted 7/29/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading engineering teams, ensuring high-quality delivery of scalable data solutions, and optimizing data processing pipelines. Proficient in deploying and monitoring infrastructure in cloud environments while fostering best practices in design and usability.

Highest-signal resume keywords
Team LeadershipData EngineeringPython ProgrammingETL Pipeline OptimizationCloud Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Distributed System ArchitectureSQLSparkSQLData ModelingData Processing TechnologiesStreaming WorkflowsData StoresPerformance MonitoringData TransformationKPI Accountability
Soft Skills
CoachingMentorshipCollaborationProblem SolvingKnowledge Sharing
Tools & Technologies
AirflowDBTLuigiDockerTerraformKubernetesDatadogClickHouseElasticSearchPostgres
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
BlockchainData ServicesReal-Time ProcessingScalable SolutionsOperational Escalations

Tech Stack

Tools & technologies
AirflowCloudDockerElasticSearchETLKafkaKubernetesNeo4jPostgresPythonRedisSparkSQLTerraform

About the role

Key responsibilities & impact
  • Lead and nurture a team of high-impact engineers, offering guidance in both technical and cultural aspects.
  • Provide regular coaching and technical mentorship to your immediate team as well as contribute to the broader engineering department's growth.
  • Assume direct responsibility for ensuring the quality and timely delivery of the team's work, while overseeing the availability and performance of critical services.
  • Drive projects aligned with well-defined goals and measurable outcomes, accountable to key performance indicators (KPIs).
  • Foster best practices in design and usability, creating scalable solutions while emphasizing documentation and knowledge sharing.
  • Resolve operational escalations and collaborate with various teams to address production incidents until resolution.
  • Contribute to the creation of highly reliable data services that seamlessly integrate with numerous blockchains.
  • Engineer and optimize ETL pipelines that handle real-time transformation and processing of petabytes of structured and unstructured data.
  • Architect data models to ensure efficient storage and retrieval, maintaining sub-second latency for querying blockchain data.
  • Oversee the deployment and vigilant monitoring of large-scale database clusters, focusing on performance and high availability.
  • Collaborate cross-functionally with data scientists, backend engineers, and product managers to design, implement, and refine new data models in support of TRM’s products.

Requirements

What you’ll need
  • A Bachelor's degree (or equivalent) in Computer Science or a related field.
  • A proven track record with over 5 years of experience in conceiving and implementing distributed system architecture, spanning from ideation to production.
  • Proficiency in Python programming and adeptness in SQL or SparkSQL.
  • Versatility across the entire spectrum of data engineering, encompassing areas such as:
  • - Expertise in data stores such as ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.
  • - Proficiency with data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
  • - Advanced proficiency in data processing technologies and streaming workflows, including Spark, Kafka, and Flink.
  • - Competence in deploying and meticulously monitoring infrastructure within public cloud platforms, using tools such as Docker, Terraform, Kubernetes, and Datadog.
  • A demonstrated ability to handle the complexities of loading, querying, and transforming extensive and intricate datasets.

Benefits

Comp & perks
  • Competitive salary
  • Remote work options