Description

You will design and manage large-scale data architectures on Google Cloud Platform, ensuring robust cloud-native solutions for complex data needs.

Responsibilities

• Architect and implement scalable data lakes and warehouses within Google Cloud environments.
• Design and oversee data integration strategies using API-based integration, ELT/ETL, batch, and real-time processing.
• Develop cloud-native data architectures that support high-volume data processing and integration requirements.
• Manage the end-to-end lifecycle of data systems, from initial design through deployment and ongoing management.

Required Skills

• 12+ years of experience in designing, developing, and managing large-scale data architectures.
• 8+ years of experience specifically in cloud-native data architectures on Google Cloud Platform.
• Deep expertise in data integration techniques, including ELT/ETL pipelines.
• Proven experience with both batch and real-time data processing systems.
• Strong knowledge of API-based data integration methods.
• Experience building and managing data lakes and data warehouses at scale.

Preferred Skills

• Experience with additional Google Cloud data services beyond core storage and processing.

Key Skills

Education

Any Graduate