We are seeking an experienced GCP Data Architecture Lead to drive large-scale cloud data transformation initiatives and architect modern, enterprise-grade data platforms on Google Cloud Platform (GCP). This role will lead the design and execution of complex data modernization programs, including enterprise data migrations, cloud-native data architectures, governance frameworks, and scalable analytics solutions. The ideal candidate combines deep expertise in GCP's modern data ecosystem with proven experience delivering secure, high-performance data platforms that enable business intelligence, AI, machine learning, and advanced analytics at scale. Key Responsibilities Lead the design and implementation of enterprise data architectures on Google Cloud Platform (GCP). Architect and deliver large-scale data migration and modernization programs from legacy platforms to cloud-native environments. Design secure, scalable, and high-performance data solutions leveraging GCP services and industry best practices. Develop enterprise data models, metadata frameworks, and governance standards to improve data quality, accessibility, and compliance. Implement and manage modern GCP data platform capabilities, including data ingestion, processing, storage, governance, and analytics. Partner with business and technology stakeholders to define data strategies, roadmaps, and target-state architectures. Establish architectural standards, reference patterns, and best practices for enterprise data platforms. Provide technical leadership and guidance to engineering teams throughout solution design and implementation. Support advanced analytics, AI, and machine learning initiatives through robust data architecture and governance practices. Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements. Required Qualifications Minimum 12 years of experience in Data Architecture, Data Engineering, or Cloud Data Platform modernization. Minimum 12 years of experience designing and executing enterprise-scale data migration and transformation programs. Minimum 12 years of experience building secure, scalable, and high-performance data architectures. Minimum 12 years of experience working with modern data platforms and cloud-based data ecosystems. Deep expertise with Google Cloud Platform (GCP) data services, including: BigQuery Cloud Spanner Dataplex Strong understanding of: Enterprise data modeling Data governance and stewardship frameworks Metadata management Ontology design and instantiation Data security and regulatory compliance Proven ability to lead architecture decisions for complex enterprise data environments and modernization initiatives. Excellent stakeholder management, communication, and leadership skills. Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Preferred Qualifications Google Cloud Professional Data Engineer Certification. Google Cloud Professional Cloud Architect Certification. Experience supporting AI, machine learning, and advanced analytics solutions on GCP. Experience establishing enterprise-wide data governance and data quality programs. Consulting or advisory experience leading cloud transformation initiatives across large organizations. Pay Transparency Info for

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