GCP Data Architect
On-siteTokyo, Tokyo, Japan
Job Summary
Architect enterprise-scale data solutions using Google BigQuery and Dataflow, ensuring alignment with business objectives and industry best practices. Define and enforce data governance, security, and compliance measures across GCP platforms, leveraging DevOps practices for automation and monitoring. Lead the design and optimization of data pipelines and ETL processes using Python and Dataflow, ensuring data quality, scalability, and reliability. Review and validate architectural deliverables, providing expert guidance to teams on GCP-native data modeling, performance tuning, and cost optimization. Drive adoption of new GCP features and technologies, ensuring continuous modernization and relevance of data solutions. Mentor and develop technical teams in GCP data architecture, fostering knowledge sharing and upskilling to mitigate delivery risks.
Required Qualifications
- Architectural Leadership in Google Bigquery, Google Dataflow, and GCP Native Data Services
- Expert Proficiency in Designing and Optimizing Large Scale Data Architectures on GCP
- Advanced Proficiency in Python for Data Engineering and Automation Tasks
- Solid Understanding of DevOps Practices for CI/CD, Infrastructure as Code, and Monitoring within GCP Environments
- InDepth Knowledge of Data Governance, Security, and Compliance Frameworks Relevant to Cloud Data Platforms
- Excellent Ability to Translate Business Requirements Into Scalable and Secure Technical Solutions
Desired Qualifications
- Google Cloud Professional Data Engineer Or Google Cloud Professional Cloud Architect Certification
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