Google Cloud Platform Data Solution Architect With Retail Experience

Currently we are not able to sponsor. We encourage to apply & GC Job Title: Google Cloud Platform Solution Architect with Retail Experience Location: Remote Experience: 14+ Years Job Description:We are seeking an experienced Google Cloud Platform Data Architect with strong retail domain expertise to design and implement scalable cloud-based data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have hands-on experience in BigQuery, Dataflow, Dataproc, Cloud Com

About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes. Intuitive Superpowers: - DataOps & AI/ML - Cloud Native, AppSecOps, DevSecOps - Cloud Migration & Transformation - Cloud FinOps - Cybersecurity (App/Data/Infra) & GRC - SDx & Digital Workspace We are proud to partner with some of the world's l

Job Description Senior Google Cloud Platform Architect (AI / DevOps / Application Development) Location: Remote / Hybrid in MN, USA Employment Type: Contract / Full-Time Experience Level: Senior / Lead Architect Position Summary We are looking for a highly experienced Senior Google Cloud Platform Architect with deep expertise in AI-focused cloud solutions, DevOps engineering, Kubernetes platform management, and enterprise application development. The ideal candidate must have a strong backgroun

Google Cloud Platform Engineer Duration: 6+ Months Location: Remote + Travel (Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve) Key Responsibilities Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and