Jobs → Data & Analytics → Google Cloud GenAI & Databricks Architect

About the Role We are seeking a Senior Google Cloud GenAI & Databricks Architect to design and implement enterprise-grade AI platforms and data solutions. This role requires expertise in both Google Cloud Platform and Azure data engineering. Key Responsibilities • Design and implement Google Cloud Platform (GCP) infrastructure and solutions • Architect large-scale migration pipelines from on-prem systems to Azure Data Lake Storage (ADLS) • Develop data pipelines in Azure ADF • Utilize GCP AI/ML services and infrastructure for solution delivery • Implement data quality checks, logging, and traceability • Design enterprise-grade AI platforms including RAG and agentic solutions • Develop AI models using Vertex AI and Gemini • Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps • Utilize GKE, Cloud Run, and BigQuery for application deployment Requirements • 8+ years of experience in cloud architecture and data engineering • Expertise in GCP infrastructure and AI/ML services • Proficiency with TensorFlow or PyTorch • Experience with Python, data modeling, SQL, and APIs • Experience with Terraform for infrastructure automation • Proven ability in delivering AI/ML solutions in a cloud environment • Experience with Azure Data Factory and Databricks • Experience in transforming data using Azure Databricks and Delta lake • Experience working in agile development projects