Solutions Architect, Data, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. - 7 years of experience with ETL tools, data pipeline orchestration (e.g., Spark), and data warehousing architectures. - Experience with SQL, NoSQL, Python, Java, or data modeling techniques. - Experience with Google Cloud’s Vertex Platform. Preferred qualifications: - Master's degree in Computer Science, related engineering field, or equivalent work experience. - Experience architecting and optimizing cloud infrastructure to support a unified Data and AI/ML platform, ensuring high performance, scalability, and readiness for advanced analytics and Generative AI use cases. - Experience architecting and implementing data migration and modernization frameworks, managing rapid adoption, ensuring consistency, and enhancing auditability. - Technical experience with Database and Data Analytics platform for building and deploying generative AI applications, including expertise with Big Query, Vertex AI, and GCP Database product portfolio. About the job: The Google Cloud Platform team helps customers transform and build what's next for their business —...