Principal Google Cloud Platform Data Architect

Job Description

We are seeking a hands-on Principal Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform.

• 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 Google Cloud Platform, 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 Google Cloud Platform.

• 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.