Google (GCP) Data Architecture Lead
Role details
Job location
Tech stack
Job description
- 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.
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)
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.
Benefits & conditions
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 08/27/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)
Role Location Annual Salary Range
California $132,500 to $338,300
Cleveland $122,700 to $270,600