Principal GCP Data Architect

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, including Storage & Warehouse (BigQuery, BigLake, Omni, Google Cloud Storage), Processing (Dataflow, Dataproc, Cloud Composer), Messaging (Pub/Sub, Confluent/Kafka integration), and Analytics & AI (Looker, Vertex AI, BigQuery ML).
• Certifications: Must hold an active GCP Professional Data Engineer certification.
• 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 (PB-scale) migrations 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

In this role, you will be responsible for:

• Strategic Architecture: Defining the long-term roadmap for data platforms on GCP, ensuring alignment with global business goals and data strategies.
• Self-Serve Platform Design: Architecting and overseeing the build-out of modern, self-serve data architectures that empower decentralized teams while maintaining central standards.
• Large-Scale Migrations: Leading complex end-to-end migrations from AWS to GCP.
• Data Governance & Security: Designing and enforcing robust data security frameworks including IAM, VPC Service Controls, Data Masking/Encryption, and automated governance using Dataplex.
• Infrastructure as Code (IaC): Driving automation using Terraform or Pulumi to ensure repeatable, scalable, and version-controlled infrastructure.
• Executive Stakeholder Management: Acting as a trusted advisor to the VP of Data, articulating the ROI of data initiatives and managing technical risk.