Join our innovative team and thrive in a culture of collaboration and creativity! We're excited to offer a fully Remote position for an exceptional AI Data Solution Architect, specializing in Google Cloud Platform. This role comes with a competitive salary and the chance to make a real impact. If you're a skilled professional with a passion for driving success, we want to hear from you!
As an AI Data Solution Architect, you will play a key role in leading our data initiatives, focusing on the design and implementation of cutting-edge solutions utilizing Google Cloud Platform and Gemini AI. Your expertise will help us address complex business challenges and deliver innovative applications that drive growth and excellence.
Job Summary:
We are seeking a highly skilled Data Architect to join our team, with a strong background in Google Cloud Platform services, Gemini AI, and data solution architecture. The ideal candidate will have extensive experience in designing and deploying data solutions, proficiency in Python, APIs, and machine learning frameworks, and a passion for driving innovation.
Key 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.
Simple Application Process
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