▷ [Urgent Search] GCP Architect

3 weeks ago

India TechWise Digital Full time

Job Description We are seeking an experienced GCP Architect specializing in BigQuery, AI, and Machine Learning to design and implement scalable, data-driven solutions on Google Cloud Platform. The ideal candidate will have a strong background in data architecture, advanced analytics, and modern cloud-based AI/ML frameworks, enabling intelligent insights and predictive capabilities for enterprise systems. Roles & Responsibilities - Lead the architecture, design, and deployment of scalable data and AI/ML solutions on Google Cloud Platform (GCP). - Architect and implement data pipelines, data lakes, and data warehouses using BigQuery, Dataflow, Dataproc, and Pub/Sub. - Collaborate with business and technical stakeholders to translate analytical requirements into scalable technical solutions. - Build and optimize machine learning models using Vertex AI, TensorFlow, or custom frameworks. - Design ETL/ELT processes and ensure seamless integration of data from diverse sources. - Ensure data quality, governance, and compliance with enterprise standards and security policies. - Evaluate and adopt emerging GCP technologies for AI/ML, data analytics, and automation. - Mentor development teams and establish best practices for data engineering, ML lifecycle management, and CI/CD automation in GCP. - Work closely with cross-functional teams for model deployment, monitoring, and retraining to improve performance. Must Have Professional & Technical Skills: - 12+ years of total experience, with 45 years in GCP architecture and BigQuery. - Strong experience with GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, and AI Platform. - Expertise in data modeling, data lake design, and performance optimization for large datasets. - Hands-on experience in AI/ML model development, deployment, and monitoring. - Proficiency in Python, SQL, and one or more ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Strong understanding of CI/CD, MLOps, and version control tools (Git, Cloud Build, Kubeflow). - Experience in architecting real-time data analytics and predictive insights pipelines. - Strong grasp of security, IAM, and data governance in cloud environments. Good To Have - Google Cloud Professional Architect or Professional Data Engineer certification. - Exposure to GenAI, LLMs, or AI-based chatbot solutions. - Knowledge of APIs, microservices, and container orchestration (Kubernetes/GKE). - Familiarity with data visualization tools (Looker Studio, Tableau, or Power BI). Skills: gcp,architect,bigguery,artificial intelligence,machine learning

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