Remote Senior GCP Data Architect | BigQuery & Data Security

MetaSense, Inc.; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

MetaSense, Inc. is seeking a hands-on Principal Google Cloud Platform Data Architect to lead design and implementation of large-scale data ecosystems from remote locations in the US.

The ideal candidate has 18–20 years in data engineering and has led multi- PB-scale migrations, with strong governance, security, and IaC practices using Terraform/Pulumi. Candidates must hold active GCP Professional Data Engineer cert, cloud migration track record, and deep experience with BigQuery, Dataflow, and

Qualifications

• 18–20 years in Data Engineering, Data Warehousing, and BI with 6+ years on GCP.
• Led two or more PB-scale migrations to cloud.
• Strong governance, security, and IAM practices.
• Bachelor’s or Master’s in a related technical field.

Responsibilities

• Define the long-term roadmap for data platforms on GCP.
• Architect self-serve data platforms while enforcing central standards.
• Lead end-to-end cloud migrations from AWS to GCP.
• Ensure data governance, security, and compliant IAM controls.

Skills

Data Engineering

GCP Expertise

Data Migration

Leadership

Agile/DevOps

Education

Bachelor's or Master's degree in CS/IS

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

dbt

Airflow

Kubernetes

Job description

MetaSense, Inc. is seeking a hands-on Principal Google Cloud Platform Data Architect to lead design and implementation of large-scale data ecosystems from remote locations in the US.

The ideal candidate has 18–20 years in data engineering and has led multi- PB-scale migrations, with strong governance, security, and IaC practices using Terraform/Pulumi. Candidates must hold active GCP Professional Data Engineer cert, cloud migration track record, and deep experience with BigQuery, Dataflow, and