GCP Data Architect

Role & responsibilities

• Architect and implement scalable data solutions on Google Cloud Platform, leveraging services like BigQuery, Cloud Storage, and Cloud Composer (Airflow).
• Design and develop data pipelines using Python and SQL for batch and real-time data processing.
• Build and maintain ETL/ELT workflows using Apache Airflow, ensuring reliability, performance, and scalability.
• Define and enforce data modelling standards, including dimensional modelling, normalization, and schema design for analytics and reporting.
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical data solutions.
• Optimize BigQuery queries and storage for cost-effective and high-performance analytics.
• Establish best practices for data governance, security, and quality, ensuring compliance with organizational and regulatory standards.
• Lead architectural reviews and provide guidance on cloud-native data strategies and tooling.