Principal GCP Data Architect

Cephas Consultancy Services Private Limited

United States, Oregon, Dallas | United States, Texas, Dallas

On-site · Full-time

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

The ideal candidate has led large-scale cloud migrations, built self-service data platforms from the ground up, and maintained a rigorous focus on data governance and security.

Technical Requirements

  • Cloud expertise: Expert-level mastery of the GCP data stack:
    • Storage and warehousing: BigQuery (including BigLake and Omni) and Google Cloud Storage.
    • Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), and Cloud Composer (Airflow).
    • Messaging: Pub/Sub and Confluent/Kafka integration.
    • Analytics and AI: Looker, Vertex AI, and BigQuery ML.
  • Certifications: Active GCP Professional Data Engineer certification required.
  • Modern data stack: Deep experience with dbt, Airflow, and containerization (GKE/Kubernetes).

Experience and Qualifications

  • Experience: 18–20 years in data engineering, data warehousing, and business intelligence, including at least 6 years focused specifically on GCP.
  • Migration track record: Proven experience leading at least two petabyte-scale enterprise 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 and Responsibilities

In this role, you will be responsible for:

  • Strategic architecture: Define the long-term roadmap for GCP data platforms, aligning it with global business goals and data strategies.
  • Self-service platform design: Architect and oversee modern, self-service data platforms that empower decentralized teams while maintaining central standards.
  • Large-scale migrations: Lead complex, end-to-end migrations from AWS to GCP.
  • Data governance and security: Design and enforce data security frameworks, including IAM, VPC Service Controls, data masking and encryption, and automated governance using Dataplex.
  • Infrastructure as code (IaC): Drive automation using Terraform or Pulumi to create repeatable, scalable, version-controlled infrastructure.
  • Executive stakeholder management: Advise the VP of Data, explain the ROI of data initiatives, and manage technical risk.