Senior Data Engineer: Lakehouse Architect (GCP, Python)

Triwill Group; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Triwill Group in the United States seeks a Senior Data Engineer to build modern lakehouse architectures in a cloud-native GCP environment. You will design reusable data-sharing and ingestion solutions connecting BigQuery, Snowflake, and Databricks, and work hands-on with Python and Spark.

You will implement Iceberg, Delta Lake, and Kafka-based CDC, establish governed data access, and collaborate with cross-functional teams to deliver scalable, production-ready data stack components across

Qualifications

• Senior-level data engineering experience in cloud-native environments.
• Hands-on development with Python and Spark in distributed data stacks.
• Experience with BigQuery, Snowflake and Databricks is preferred.

Responsibilities

• Build modern lakehouse architectures in a cloud-native GCP environment.
• Design reusable data-sharing and ingestion solutions across platforms.
• Implement Iceberg, Delta Lake, and Kafka-based CDC workflows.
• Collaborate with cross-functional teams to deliver scalable data services.

Skills

GCP

Python

Spark

Iceberg

Delta Lake

Kafka

Snowflake

Databricks

Lakehouse

Tools

BigQuery

Snowflake

Databricks

Kafka

Spark

Job description

Triwill Group in the United States seeks a Senior Data Engineer to build modern lakehouse architectures in a cloud-native GCP environment. You will design reusable data-sharing and ingestion solutions connecting BigQuery, Snowflake, and Databricks, and work hands-on with Python and Spark.

You will implement Iceberg, Delta Lake, and Kafka-based CDC, establish governed data access, and collaborate with cross-functional teams to deliver scalable, production-ready data stack components across