Principal GCP Data Architect

• →Define the long-term roadmap for enterprise data platforms on GCP, ensuring alignment with global business objectives and strategic data initiatives.
• →Design and oversee modern, self-service data architectures that empower decentralized teams while maintaining centralized standards, governance, security, and quality.
• →Lead complex, end-to-end enterprise-scale cloud migrations, including migrations from AWS to GCP.
• →Architect and implement large-scale data ecosystems capable of supporting PB-scale workloads.
• →Design and enforce robust data governance and security frameworks, including IAM, VPC Service Controls, data masking, encryption, and automated governance using Dataplex.
• →Drive Infrastructure as Code (IaC) practices using Terraform or Pulumi to create repeatable, scalable, and version-controlled infrastructure.
• →Architect solutions using GCP data services including BigQuery, BigLake, BigQuery Omni, Google Cloud Storage, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and related technologies.
• →Support modern analytics and AI capabilities using Looker, Vertex AI, and BigQuery ML.
• →Integrate messaging and streaming platforms including Pub/Sub and Confluent/Kafka.
• →Establish and promote modern data engineering practices using dbt, Airflow, and containerization technologies such as GKE/Kubernetes.
• →Lead and mentor large, cross-functional engineering teams within Agile and DevOps environments.
• →Collaborate with data engineers, software engineers, security professionals, business stakeholders, and technical leadership.
• →Act as a trusted technical advisor to executive stakeholders, including the VP of Data.
• →Communicate the business value and ROI of data initiatives while identifying and managing technical risks.
• →Establish architectural standards, best practices, and continuous improvement initiatives across enterprise data platforms.

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• Minimum 18–20 years of experience in Data Engineering, Data Warehousing, and Business Intelligence.
• Minimum 6 years of experience specifically focused on GCP.
• Candidates must have worked exclusively with GCP in their relevant cloud experience.
• Active GCP Professional Data Engineer certification is required.
• Expert-level proficiency across the GCP Data Stack, including:
  • BigQuery, including BigLake and BigQuery Omni
  • Google Cloud Storage
  • Dataflow / Apache Beam
  • Dataproc / Spark / Hadoop
  • Cloud Composer / Airflow
  • Pub/Sub
  • Confluent / Kafka integration
  • Looker
  • Vertex AI
  • BigQuery ML
• Deep experience with modern data technologies including dbt, Airflow, and GKE/Kubernetes.
• Proven experience leading at least two enterprise-scale, PB-scale cloud migrations.
• Demonstrated experience leading large, cross-functional engineering teams in Agile/DevOps environments.
• Strong expertise in data governance, security, architecture, and enterprise data platform design.
• Hands-on experience with Infrastructure as Code technologies such as Terraform or Pulumi.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.
• Strong executive communication and stakeholder management skills.
• U.S. Citizen or Green Card Holder required