Principal Google Cloud Platform Data Architect

We are looking for candidates who have Google Cloud Platform Certification and comes from a Data Engineering background.

Must-Haves

Should have worked exclusively on Google Cloud Platform We are looking for candidates who have Google Cloud Platform Certification and comes from a Data Engineering background. This role is remote and candidate can be based anywhere in US.

Strict No-Nos: N/A

Nice to Haves: AI skills

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.

• Q1. Have you worked exclusively on Google Cloud Platform (Google Cloud Platform) throughout your professional career?
• Q2. Do you currently hold a valid Google Cloud Platform certification?
• Q3. Do you have a background in Data Engineering?*
• Q4. Are you currently authorized to work in the United States?
• Q5. Are you available to work in a remote position?
• Q6. Which Google Cloud Platform certification do you currently hold?*
• Q7. How many years of professional experience do you have in Data Engineering?
• Q8. Which Google Cloud Platform data services have you worked with most extensively?