Principal Google Cloud Architect

About the Company

Datatonic is Google Cloud's premier partner in AI, driving transformation for world-class businesses through expertise in machine learning, data engineering, and analytics on Google Cloud Platform.

Responsibilities

• Shape architecture for key projects and next-generation machine learning products
• Provide pre and post sales architectural advice and thought leadership
• Oversee design and implementation of enterprise-scale Data and AI projects
• Mentor team members and shape the architecture team
• Collaborate with sales and GTM teams to scope solutions and create market-ready products
• Conduct architecture reviews for key clients and deliver recommendations to stakeholders
• Define and embed technical best practices into project delivery
• Work in an agile environment alongside data scientists and engineers

Requirements

• Bachelor's or Master's degree in Computer Science or a related technical discipline
• Hands-on experience designing and implementing large-scale big data cloud architectures
• Extensive experience in technical pre-sales
• Proficiency in Python, Java, and SQL
• Comprehensive knowledge of production-grade cloud technologies (data, security, networking)
• Experience with container technologies
• Strong stakeholder management and communication skills

Preferred Qualifications

• Google Cloud or AWS Certified Solutions Architect certification
• Experience with ETL tools, Spark, Beam, or Flink
• Expertise in data lake/warehouse technologies like BigQuery, Redshift, or Synapse
• Experience with analytics tools such as Looker, Tableau, or PowerBI
• Familiarity with Agile/Scrum frameworks
• Basic understanding of machine learning and statistics
• History of open-source contributions