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
- Robust 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