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.
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.
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:
o Storage & Warehouse: BigQuery (including BigLake and Omni), Google Cloud Storage.
o Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow).
o Messaging: Pub/Sub and Confluent/Kafka integration.
o 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.
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