GCP Data Architect

Principal GCP Data Architect | Location: Remote • 16–20 years of overall IT experience. • 5–6 years of recent, hands-on experience with GCP. • Proven experience working on Google Data projects. • Valid and recent GCP certification. • Prior involvement in Google-funded projects. • Must possess a Data Readiness Placement (DRP) ID with a verified score of 50 or above. Job Description 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: • 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 • *GCP 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 GCP. • 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 GCP, 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 GCP. • 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. Apply tot his job