Senior Software Engineer, Data Platform

TRM Labs

. Build highly reliable data services integrating with dozens of blockchains .

Posted 9/23/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in architecting distributed systems and developing complex ETL pipelines for large-scale data processing. Proficient in deploying and monitoring cloud infrastructure while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingSQL or SparkSQLData Pipeline Orchestration (Airflow, DBT)Data Processing Technologies (Spark, Kafka, Flink)Cloud Infrastructure Deployment (Docker, Terraform, Kubernetes)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Distributed System ArchitectureETL Pipeline DevelopmentData ModelingDatabase MonitoringData Querying and Transformation

Soft Skills

CollaborationProblem-SolvingStakeholder Engagement

Tools & Technologies

IcebergTrinoBigQueryStarRocksCitusDatadog

Certifications & Qualifications

Bachelor's Degree in Computer Science or Related Field

Industry Keywords

BlockchainData ServicesReal-Time Data ProcessingHigh AvailabilityObservability Dashboards

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerETLKafkaKubernetesPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Build highly reliable data services integrating with dozens of blockchains
Develop complex real-time ETL pipelines processing petabytes of structured and unstructured data
Design and architect data models optimized for storage, retrieval, and sub-second blockchain-data queries
Oversee deployment and monitoring of large database clusters with focus on performance and high availability
Collaborate with data scientists, backend engineers, and product managers on novel data models
Build scalable self-serve automation for database creation, disk scaling, and cluster scaling/updating
Identify 80/20 opportunities to shorten deployment and operational timelines
Deliver first-version “skateboard” projects such as observability dashboards and iterate based on stakeholder feedback

Requirements

What you’ll need

Bachelor's degree (or equivalent) in Computer Science or a related field
5+ years of hands-on experience architecting distributed system architecture and guiding projects from ideation through production deployment
Exceptional programming skills in Python
Adeptness in SQL or SparkSQL
Experience with data stores and engines such as Iceberg, Trino, BigQuery, StarRocks, and Citus
Proficiency with data pipeline and workflow orchestration tools such as Airflow and DBT
Expertise in data processing and streaming technologies including Spark, Kafka, and Flink
Competence deploying and monitoring infrastructure in public cloud platforms using Docker, Terraform, Kubernetes, and Datadog
Ability to load, query, and transform extensive datasets
Applied AI fluency
Willingness and ability to participate in on-call requirements

Benefits

Comp & perks

Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements