GCP Data Architect: Real-Time & Big Data Pipelines

Ethereum Technologies LLC; San Jose, Northern (CA, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

ETHEREUM TECHNOLOGIES LLC is seeking a Data Engineer to design, build, and maintain scalable data infrastructure that powers BI, analytics, and ML initiatives.

Ideal candidates will have deep GCP experience (BigQuery, Cloud Storage, Dataflow/Beam, Pub/Sub), strong Python and SQL skills, and hands-on workflow orchestration with Airflow, Cloud Composer, or Dagster. Collaboration with product teams is essential, in a dynamic cloud environment.

Qualifications

• Experience building scalable data infrastructures for BI, analytics, and ML workflows.
• Strong expertise in GCP services, BigQuery ingestion, performance optimization, and data modeling.
• Proficiency in Python programming and advanced SQL for complex data processing.

Responsibilities

• Design and optimize analytical datasets for high-volume reporting and model development.
• Architect, build, and maintain scalable data pipelines for BI and analytics.
• Implement and support batch and real-time data processing and streaming solutions.
• Collaborate with product and business teams to translate data needs into technical solutions.

Skills

Python

SQL

Data engineering

Airflow

Dagster

GCP

BigQuery

Data modeling

Data pipelines

CI/CD

Git

GitHub Actions

Cloud Composer

Pub/Sub

Beam

Cloud Dataflow

Tools

BigQuery

Cloud Storage

Cloud Dataflow/Beam

Pub/Sub

Git

GitHub Actions

Airflow

Dagster

Cloud Composer

Job description

ETHEREUM TECHNOLOGIES LLC is seeking a Data Engineer to design, build, and maintain scalable data infrastructure that powers BI, analytics, and ML initiatives.

Ideal candidates will have deep GCP experience (BigQuery, Cloud Storage, Dataflow/Beam, Pub/Sub), strong Python and SQL skills, and hands-on workflow orchestration with Airflow, Cloud Composer, or Dagster. Collaboration with product teams is essential, in a dynamic cloud environment.