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Senior Data Engineer Data Lakehouse Infrastructure at TRM Labs – North America | Jobyssey

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Senior Data Engineer Data Lakehouse Infrastructure

Senior Data Engineer Data Lakehouse Infrastructure

TRM Labs · North America · 5 months ago

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Work mode: Remote
Seniority: Senior
Category: Data engineering
Experience: 5+ years

airflow automation data-modeling data-pipelines delta-lake elt etl gcp kafka lakehouse

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metadata-management

You will design, implement, and scale a modern data lakehouse to support complex analytical and real-time workloads. You will own data modeling, ingestion, metadata management, and query performance optimization. You will build and orchestrate ETL and streaming pipelines, implement open table formats and governance, and create automation and observability for operational reliability.

Responsibilities

Architect and scale a high-performance data lakehouse on GCP
Design build and optimize distributed query engines such as Trino Spark or Snowflake
Implement metadata management using open table formats like Iceberg or Hudi
Develop and orchestrate ETL and ELT pipelines with Airflow Spark and GCP-native tools
Build streaming and batch data pipelines using Dataflow and Kafka
Optimize query performance and data modeling for analytical workloads
Automate operational tasks including cluster scaling and self-serve infrastructure
Implement observability and data discovery frameworks for governance

Requirements

5+ years of experience in data or software engineering focused on distributed data systems
Proven experience building and scaling data platforms on GCP
Strong command of query engines such as Trino Presto Spark or Snowflake
Experience with table formats like Apache Hudi Iceberg or Delta Lake
Proficient programming skills in Python and strong SQL or SparkSQL abilities
Hands-on experience with Airflow and GCP-native orchestration and streaming services

Benefits

Equity plan participation