Senior Data Engineer, Data Lakehouse Infrastructure

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TRM Labs

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

🤝 B2B

Crypto • Compliance • B2B

TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.

📋 Description

• Architect and scale a high-performance data lakehouse on GCP, leveraging technologies like StarRocks, Apache Iceberg, GCS, BigQuery, Dataproc, and Kafka. • Design, build, and optimize distributed query engines such as Trino, Spark, or Snowflake to support complex analytical workloads. • Implement metadata management in open table formats like Iceberg and data discovery frameworks for governance and observability using Iceberg compatible catalogs. • Develop and orchestrate robust ETL/ELT pipelines using Apache Airflow, Spark, and GCP-native tools (e.g., Dataflow, Composer). • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement

🎯 Requirements

• 5+ years of experience in data or software engineering, with a focus on distributed data systems and cloud-native architectures. • Proven experience building and scaling data platforms on GCP, including storage, compute, orchestration, and monitoring. • Strong command of one or more query engines such as Trino, Presto, Spark, or Snowflake. • Experience with modern table formats like Apache Hudi, Iceberg, or Delta Lake. • Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. • Hands-on experience orchestrating workflows with Airflow and building streaming/batch pipelines using GCP-native services.

🏖️ Benefits

• participate in TRM’s equity plan