Senior Data Engineer

Impact You'll Have:

• 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.

What We're Looking For:

• 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 and experience with modern table formats.

About the Team:

• The Data Platform team is the funnel between TRM's data world and product world, caring about all layers including petabytes of data stores, pipelines, and processes.
• They have a broad scope with new projects every quarter, collaborating across most teams at TRM in a remote-first, async-friendly environment.
• Team members are based in the US across almost all time zones, with a north star of no IC spending more than 3-4 hours per week in meetings.