Principal GCP Data Architect

Corevia Staffing; Alaska; Remote; USD 150,000 - 210,000; Full time

Job summary

Corevia Staffing is seeking a Principal GCP Data Architect to design and implement large-scale data ecosystems in a remote role across the United States. You will lead strategic data platform architecture, governance, and self-serve capabilities, guiding enterprise migrations to Google Cloud.

The ideal candidate has deep GCP stack expertise, data governance focus, and a track record of delivering scalable data solutions in Agile/DevOps environments.

Qualifications

• 18–20 years in Data Engineering, Data Warehousing and BI, with 6+ years on GCP.
• Led at least two enterprise-scale cloud migrations (PB-scale).
• Experience leading large, cross-functional engineering teams in Agile/DevOps.

Responsibilities

• Define the long-term data platform roadmap on GCP aligned with business goals.
• Architect and oversee modern self-serve data platforms for decentralized teams while maintaining standards.
• Lead end-to-end migrations from AWS to GCP.

Skills

GCP

Data Architecture

Data Governance

Leadership

Agile/DevOps

Self-Service Platform

IaC

Executive Stakeholder Management

Education

Bachelor's or Master's in CS/IS

Tools

BigQuery

Dataflow

Dataproc

Cloud Composer

Pub/Sub

Confluent/Kafka

Looker

Vertex AI

BigQuery ML

dbt

Airflow

GKE/Kubernetes

Terraform

Pulumi

Dataplex

Job description

We are looking for candidates who have GCP Certification and comes from a Data Engineering background. This role is remote and candidate can be based anywhere in US.

We are seeking a hands-on Principal GCP Data Architect to lead the design, and implementation of large-scale data ecosystems.

The ideal candidate is an architect who has led massive cloud migrations, built self-serve data platforms from the ground up, and maintains a rigorous focus on data governance and security.

Technical Requirements

• Cloud Expertise: Expert-level mastery of the GCP Data Stack:

  • Storage & Warehouse: BigQuery (including BigLake and Omni), Google Cloud Storage.

  • Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow).

  • Messaging: Pub/Sub and Confluent/Kafka integration.

  • Analytics & AI: Looker, Vertex AI, and BigQuery ML.

• Certifications: Must hold an active GCP Professional Data Engineer certification.

• DRP ID Performance: A Data Readiness Placement (DRP) ID with a verified score of 50+ is highly preferable, demonstrating a high level of technical proficiency and architectural maturity.

• Modern Data Stack: Deep experience with dbt, Airflow, and containerization (GKE/Kubernetes).

Experience & Qualifications

• Years of Experience: 18 20 years in Data Engineering, Data Warehousing, and Business Intelligence, with at least 6+ years focused specifically on GCP.

• Migration Track Record: Proven experience leading at least two enterprise-scale migrations (PB-scale) to the cloud.

• Leadership: Demonstrated experience leading large, cross-functional engineering teams in an Agile/DevOps environment.

• Education: Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.

Roles & Responsibilities

• Strategic Architecture: Define the long-term roadmap for data platforms on GCP, ensuring alignment with global business goals and "North Star" data strategies.

• Self-Serve Platform Design: Architect and oversee the build-out of modern, self-serve data architectures that empower decentralized teams while maintaining central standards.

• Large-Scale Migrations: Lead complex end-to-end migration from AWS to GCP.

• Data Governance & Security: Design and enforce robust data security frameworks including IAM, VPC Service Controls, Data Masking/Encryption, and automated governance using Dataplex.

• Infrastructure as Code (IaC): Drive automation using Terraform or Pulumi to ensure repeatable, scalable, and version-controlled infrastructure.

• Executive Stakeholder Management: Act as a trusted advisor to the VP of Data, articulating the ROI of data initiatives and managing technical risk.