GCP Data Architect - freelance

📋 Description

• Collaborate with stakeholders to understand business requirements and translate them into data
• Design and oversee the overall data architecture and infrastructure, ensuring scalability
• Define data models and data schemas to meet business needs, considering factors such as data
• Select and integrate appropriate data technologies and tools, such as databases, data lakes, data
• Ensure that data engineering solutions align with the organization's long-term data strategy and
• Evaluate and recommend data governance strategies and practices, including data privacy, security

🎯 Requirements

• At least 6 years of experience as Data Architect, including min. 4 years of experience working with
• Deep knowledge of Google Cloud Platform and cloud computing services.
• Strong experience in the Data & Analytics area.
• Strong understanding of data engineering concepts, including data modeling, ETL processes, data
• Expertise in designing and implementing scalable and efficient data processing frameworks.
• In-depth knowledge of various data technologies and tools, such as columnar databases, relational

🎁 Benefits

• Certifications in big data technologies or/and cloud platforms.
• Experience with BI solutions (e.g. Looker, Power BI, Tableau).
• Experience with ETL tools: e.g. Talend, Alteryx
• Experience with Apache Spark, especially in GCP environment.
• Experience with Databricks.
• Experience with Azure cloud-based infrastructure & systems.