Principal GCP Data Architect

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.

Technical Requirements

• Cloud Expertise: Expert-level mastery of the GCP Data Stack: Storage & Warehouse (BigQuery, Google Cloud Storage), Processing (Dataflow, Dataproc, Cloud Composer), Messaging (Pub/Sub, Confluent/Kafka), Analytics & AI (Looker, Vertex AI, 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.