Senior Data Engineer, Data Lakehouse Infrastructure

📋 Description

• Architect and scale a data lakehouse on GCP using Iceberg, GCS, BigQuery.
• Design, build, and optimize distributed query engines such as Trino, Spark, Snowflake.
• Implement metadata management in Iceberg and data discovery catalogs for governance.
• Develop and orchestrate robust ETL/ELT pipelines with Airflow, Spark, and GCP-native tools.
• Collaborate with data scientists, engineers, and product teams to implement data solutions.

🎯 Requirements

• 5+ years in data or software engineering, focusing on distributed data systems.
• Experience building and scaling data platforms on GCP (storage, compute, orchestration, monitoring).
• Strong command of query engines such as Trino, Spark, or Snowflake.
• Experience with modern table formats like Hudi, Iceberg, or Delta Lake.
• Strong Python skills; proficient in SQL or SparkSQL.
• Hands-on with Airflow and streaming/batch pipelines using GCP-native services.

🎁 Benefits

• Remote-first and async-friendly environment.
• High ownership culture with fast iteration.
• Teams across US timezones with some meeting overlap.
• Opportunity to work with petabyte-scale data and AI fluency.
• Career growth through TRM’s Engineering Levels.