Principal GCP Data Architect

📋 Description

• Define the long-term roadmap and architectural strategy for enterprise data platforms on Google
• Design and oversee modern, self-service data architectures that enable decentralized teams while
• Lead complex, end-to-end enterprise cloud migrations, including large-scale migrations from AWS to
• Architect and implement highly scalable data ecosystems capable of supporting petabyte-scale
• Establish robust data governance and security frameworks covering IAM, VPC Service Controls, data
• Drive Infrastructure as Code practices using Terraform or Pulumi to create scalable, repeatable

🎯 Requirements

• Bring at least 18–20 years of professional experience across data engineering, data warehousing
• Have at least 6 years of dedicated experience working with Google Cloud Platform.
• Have worked exclusively with GCP within your relevant cloud experience.
• Hold an active Google Cloud Professional Data Engineer certification.
• Demonstrate expert-level proficiency across the GCP data stack, including BigQuery, BigLake
• Have experience integrating Confluent and Kafka with enterprise data platforms and streaming

🎁 Benefits

• Annual compensation of $160,000–$220,000.
• Full-time employment.
• Remote work opportunity within the United States.
• Opportunity to work on large-scale enterprise data architecture and cloud transformation
• Exposure to advanced GCP technologies spanning data engineering, analytics, AI, streaming
• Opportunity to influence enterprise-wide architecture standards and long-term data platform