Job Description

Key Responsibilities - Design and develop AI-ready data products using Snowflake and its AI capabilities. - Translate business and analytical requirements into scalable AI/data product architectures. - Build and productionize data products that support GenAI, LLM, AI-agent, ML, and advanced analytics use cases. - Develop scalable data pipelines, data models, and transformations within Snowflake. - Leverage the Snowflake AI ecosystem to build intelligent data applications and AI-driven solutions. - Work with capabilities such as Snowflake Cortex, Snowflake Intelligence, Snowpark, Cortex Analyst, Cortex Search, or equivalent Snowflake AI services. - Design solutions for structured and unstructured data to support AI and analytics applications. - Develop reusable, governed data products that can be consumed by AI applications, data scientists, analysts, and business users. - Work closely with data scientists, ML engineers, AI product managers, architects, and business stakeholders. - Take ownership of AI/data products through the complete lifecycle: - requirement → architecture → development → testing → deployment → production support. - Design and implement data models and semantic structures optimized for AI consumption. - Develop Python and SQL-based data transformations and AI/data workflows. - Implement data quality, validation, monitoring, and reliability mechanisms. - Use Git/GitHub-based development practices, including branching, pull requests, code reviews, and CI/CD. - Ensure appropriate security, access controls, governance,



and data privacy for AI data products. - Document technical architecture, data flows, AI use cases, and product design decisions. - Work with enterprise/legacy data environments and contribute to modernization initiatives. - Communicate technical concepts effectively to both technical and non-technical stakeholders. Required Qualifications - 7+ years of experience in Data Engineering, Data Architecture, AI Engineering, Data Products, or related disciplines. - Demonstrated experience designing and developing data products, particularly products that support AI/ML or GenAI use cases. - Strong hands-on experience with Snowflake. - Strong practical knowledge of the Snowflake AI ecosystem. - Experience with one or more of: - Snowflake Cortex - Snowflake Intelligence - Snowpark - Cortex Analyst - Cortex Search - Snowflake ML - Snowflake AI/ML functions - Solid SQL and Python programming skills. - Experience designing Snowflake data models, schemas, pipelines, and scalable data architectures. - Experience building AI/ML or Generative AI solutions using enterprise data. - Understanding of LLM, RAG, AI agents, vector search, embeddings, or related GenAI concepts. - Experience integrating AI/ML capabilities with enterprise data platforms. - Experience with Git/GitHub and CI/CD practices. - Strong understanding of data quality, metadata, governance, security, and access control. - Experience working with cross-functional teams including data engineering, data science, AI/ML, product, and business teams. - Strong communication and consulting skills.

📌 SnowflakeAI Data Product Designer/Developer | Pharmaceutical Domain | Remote | Contract (Bengaluru)
🏢 Cygnus Staffing Solutions
📍 Bengaluru