AI Data Solution Architect - Google Cloud Platform

Remote

We are seeking a Data Architect to lead our data initiatives, focusing on the implementation of solutions utilizing Google Cloud Platform (Google Cloud Platform) and Gemini AI. The ideal candidate will have extensive knowledge of Google Cloud Platform services and capabilities, along with experience in architecting and deploying data solutions. Proficiency in Python, APIs, and machine learning frameworks is essential. Responsibilities Design and architect data solutions leveraging Google Cloud Platform services, including Gemini AI, to address complex business challenges and deliver innovative applications. Evaluate and recommend appropriate Google Cloud Platform services and Gemini AI technologies based on project objectives, scalability, performance, and cost considerations. Design and implement end-to-end data solutions, including data acquisition, data preprocessing, and pipeline deployment. Architect and optimize... scalable and reliable cloud-based infrastructure on Google Cloud Platform, ensuring high availability, fault tolerance, and security. Develop architectural design documents, solution blueprints, and technical specifications to guide the development and implementation process. Collaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutions. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 12 years of experience with large-scale data and analytics solutions. Knowledge of Google Cloud Platform Data & Analytics services: BigQuery, Dataflow, Cloud Storage, Dataproc, Pub/Sub, and others. Familiarity with Gemini AI and its applications in data solutions and machine learning. Experience with Google Cloud Platform deployment tools and CI/CD practices. Experience in preparing data for data science and machine learning purposes. Ability to conduct data profiling, cataloging, and mapping for technical design and construction of data flows. Experience with various database technologies, including relational and non-relational databases. Experience with data visualization tools and APIs to expose data to end-users. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related discipline, with coursework in data and AI/ML. Experience with machine learning frameworks and tools on Google Cloud Platform, such as TensorFlow or AI Platform. Knowledge of data privacy and security regulations and best practices related to Google Cloud Platform solutions. Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders. Google Cloud Platform certifications, such as Professional Data Engineer, are preferred