GCP Data Architect

Must-Have Technical Skills

• Google Cloud Platform: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage
• Enterprise Data Architecture, Data Modeling
• Data Platform, Data Lake, and Data Warehouse Architecture
• Data Governance, Data Quality, Metadata & Lineage Management
• Python, SQL, Apache Spark
• ETL/ELT Pipeline Design & Optimization
• Infrastructure as Code (Terraform)
• CI/CD, Git, Agile/Scrum
• Performance Tuning, Security, and Cost Optimization
• Strong communication and stakeholder management skills

Roles & Responsibilities

• Design scalable, secure, and high-performance GCP data architectures.
• Architect enterprise data platforms, data lakes, and analytics solutions.
• Build and optimize batch and real-time data pipelines using GCP services.
• Establish data governance, quality, metadata, and lineage standards.
• Lead architecture reviews and drive cloud best practices.
• Collaborate with business and engineering teams to deliver scalable data solutions.
• Optimize BigQuery performance, scalability, and cloud costs.
• Ensure compliance with enterprise security and regulatory standards.
• Mentor engineering teams and provide technical leadership.
• Support cloud migration and modernization initiatives.

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