JobRialto
GCP Data Architect
JobRialto, Dallas, Texas, United States, 75215
Job Summary
We are seeking a Data Architect to lead data initiatives with a focus on Google Cloud Platform (GCP) and Gemini AI. The ideal candidate will have extensive experience in architecting and deploying data solutions using GCP services. Proficiency in Python, APIs, and machine learning frameworks is essential to design and implement scalable, reliable, and innovative data solutions.
Key Responsibilities
• Design and architect data solutions leveraging GCP services, including Gemini AI, to address complex business challenges.
• Evaluate and recommend appropriate GCP services and Gemini AI technologies based on project objectives, scalability, performance, and cost considerations.
• Design and implement end-to-end data pipelines, including data acquisition, preprocessing, and deployment.
• Architect scalable and reliable cloud-based infrastructure on GCP with high availability, fault tolerance, and security.
• Develop architectural design documents, solution blueprints, and technical specifications.
• Collaborate with stakeholders to translate business requirements into technical solutions.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Minimum of 12 years of experience with large-scale data and analytics solutions.
• Expertise in GCP services such as BigQuery, Dataflow, Cloud Storage, Dataproc, and Pub/Sub.
• Familiarity with Gemini AI and its applications in data and machine learning solutions.
• Experience with GCP deployment tools and CI/CD practices.
• Proficiency in preparing data for data science and machine learning purposes.
• Experience with database technologies, both relational and non-relational.
• Strong understanding of APIs and data visualization tools to expose data to end-users.
Preferred Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related discipline, with coursework in data and AI/ML.
• Experience with machine learning frameworks and tools on GCP, such as TensorFlow or AI Platform.
• Knowledge of data privacy and security regulations relevant to GCP solutions.
• GCP certifications, such as Professional Data Engineer, are highly preferred.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Education:
Bachelors Degree
We are seeking a Data Architect to lead data initiatives with a focus on Google Cloud Platform (GCP) and Gemini AI. The ideal candidate will have extensive experience in architecting and deploying data solutions using GCP services. Proficiency in Python, APIs, and machine learning frameworks is essential to design and implement scalable, reliable, and innovative data solutions.
Key Responsibilities
• Design and architect data solutions leveraging GCP services, including Gemini AI, to address complex business challenges.
• Evaluate and recommend appropriate GCP services and Gemini AI technologies based on project objectives, scalability, performance, and cost considerations.
• Design and implement end-to-end data pipelines, including data acquisition, preprocessing, and deployment.
• Architect scalable and reliable cloud-based infrastructure on GCP with high availability, fault tolerance, and security.
• Develop architectural design documents, solution blueprints, and technical specifications.
• Collaborate with stakeholders to translate business requirements into technical solutions.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Minimum of 12 years of experience with large-scale data and analytics solutions.
• Expertise in GCP services such as BigQuery, Dataflow, Cloud Storage, Dataproc, and Pub/Sub.
• Familiarity with Gemini AI and its applications in data and machine learning solutions.
• Experience with GCP deployment tools and CI/CD practices.
• Proficiency in preparing data for data science and machine learning purposes.
• Experience with database technologies, both relational and non-relational.
• Strong understanding of APIs and data visualization tools to expose data to end-users.
Preferred Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related discipline, with coursework in data and AI/ML.
• Experience with machine learning frameworks and tools on GCP, such as TensorFlow or AI Platform.
• Knowledge of data privacy and security regulations relevant to GCP solutions.
• GCP certifications, such as Professional Data Engineer, are highly preferred.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Education:
Bachelors Degree