Solution Architect - Data & Analytics

: 1. Solution Architect : Role & responsibilities : - Bachelors or Masters degree in Computer Science, Engineering, IT, or a related field. - Experience: 10+ years of overall experience in Data & Analytics, with at least 3+ years' operating specifically as a Data/Solution Architect. - Technical Expertise: Deep, hands-on architectural experience with Snowflake (data sharing, performance tuning, architecture). - Expertise in dbt (data build tool) for data transformation and modeling. - Strong background in the Microsoft Azure ecosystem (e.g., Azure Data Factory, Azure Data Lake Storage, Synapse). - Proven track record of designing End-to-End (E2E) analytics architectures from source to visualization. - Practical experience implementing and guiding teams on AI-assisted development tools to accelerate engineering workflows. - Relevant industry certifications (e.g., SnowPro Core/Advanced Architect, Azure Data Engineer Associate). - Experience integrating Large Language Models (LLMs) or generative AI features into analytics data products. - Familiarity with Agile/Scrum delivery methodologies.