About the position
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.
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.
Requirements
• 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)
Nice-to-haves
• 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.
Benefits
• medical, dental, vision, life, and long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off
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