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Job Description :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. (ref:hirist.tech) Job Description :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. (ref:hirist.tech)
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