GCP Data Architect: Scalable Analytics & ML Pipelines

Machine Intelligence Technologies, LLC; San Jose (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Machine Intelligence Technologies LLC is seeking a skilled Data Engineer to design, build, and maintain scalable data infrastructure in a dynamic cloud environment. You will drive BI, analytics, and ML initiatives by delivering robust data pipelines and optimized data models.

The role emphasizes hands-on work with GCP services (BigQuery, Dataflow, Pub/Sub) and modern orchestration tools, collaborating with product and business teams to meet data requirements.

Qualifications

• Experience building and maintaining scalable data pipelines for analytics and ML
• Strong SQL proficiency and Python development in data engineering contexts
• Hands-on experience with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub) and data modeling

Responsibilities

• Design, implement, and optimize data pipelines for BI, analytics and ML models.
• Build and maintain scalable data infra on GCP, including BigQuery and data processing services.
• Collaborate with product and analytics teams to translate data requirements into technical solutions.
• Implement and maintain CI/CD for data workflows and ensure robust data lineage and quality checks.

Skills

GCP

BigQuery

Python

SQL

Airflow

Cloud Dataflow

Pub/Sub

Tools

Airflow

Cloud Composer

Dagster

Git

GitHub Actions

Job description

Machine Intelligence Technologies LLC is seeking a skilled Data Engineer to design, build, and maintain scalable data infrastructure in a dynamic cloud environment. You will drive BI, analytics, and ML initiatives by delivering robust data pipelines and optimized data models.

The role emphasizes hands-on work with GCP services (BigQuery, Dataflow, Pub/Sub) and modern orchestration tools, collaborating with product and business teams to meet data requirements.