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Senior Snowflake & AI Solutions Architect

india, Telangana, Hyderabad

Full–time

Posted on: 3 days ago

Key Responsibilities
  • Snowflake Data Architecture & Engineering
  • Design and implement scalable, secure, and high-performance data models on Snowflake DWH.
  • Develop dimensional models, data vault architectures, and optimized transformation pipelines.
  • Drive performance tuning, cost optimization, workload isolation, and data governance.
  • Implement secure data sharing, row-level security, and role-based access controls.
  • AI & Snowflake Cortex LLM Development
  • Build and deploy AI agents using Snowflake Cortex LLM.
  • Design Retrieval-Augmented Generation (RAG) architectures grounded on enterprise data.
  • Develop semantic search, vector embeddings, and prompt engineering frameworks.
  • Ensure secure LLM integration with governed enterprise datasets.
  • Conversational Insights Platform
  • Architect and implement conversational analytics solutions enabling natural language interaction with enterprise data.
  • Deliver contextual, persona-based insights for CXOs and functional leaders.
  • Build explainable AI layers and data lineage transparency.
  • Integrate structured and semi-structured data sources for unified insights.
  • Advanced Analytics & Intelligence Platform Enablement
  • Leverage Snowflake Intelligence Platform for AI-powered analytics applications.
  • Enable real-time dashboards, predictive analytics, and automated insight generation.
  • Partner with business stakeholders to translate functional requirements into scalable data solutions.
  • Business & Functional Collaboration
  • Work closely with HR, Sales, Finance, and Supply Chain teams to design domain-specific data models.
  • Lead discovery workshops and translate business KPIs into analytical frameworks.
  • Provide thought leadership on enterprise AI adoption and data strategy.

    • Required Qualifications
  • 10+ years of experience in Data Engineering, Data Architecture, or AI Solutions.
  • 5+ years of hands-on experience with Snowflake Data Warehouse.
  • Proven expertise in scalable data modeling (Dimensional, Data Vault, Star/Snowflake schema).
  • Hands-on experience with Snowflake Cortex LLM and AI agent deployment.
  • Experience in building conversational analytics or NLP-based enterprise tools.
  • Strong understanding of vector search, embeddings, and RAG frameworks.
  • Proficiency in SQL, Python, and modern data stack tools.
  • Strong knowledge of data governance, security, and access control frameworks.

    • Preferred Qualifications
  • Experience in enterprise AI transformation initiatives.
  • Exposure to MLOps and model lifecycle management.
  • Familiarity with BI tools (Power BI, Tableau) and semantic modeling.
  • Experience in domain analytics across HR, Sales, Finance, or Supply Chain.
  • Cloud certifications (Snowflake, Azure, AWS, or GCP preferred).

    • Requirements

    Preferred Qualifications
  • Experience in enterprise AI transformation initiatives.
  • Exposure to MLOps and model lifecycle management.
  • Familiarity with BI tools (Power BI, Tableau) and semantic modeling.
  • Experience in domain analytics across HR, Sales, Finance, or Supply Chain.
  • Cloud certifications (Snowflake, Azure, AWS, or GCP preferred).