Description

You will design and lead enterprise data architecture, analytics platforms, and modern data stack solutions.

Responsibilities

• Design scalable data architectures and reusable frameworks from ingestion to consumption.
• Lead end-to-end solution delivery including transformation, governed semantic layers, and metric standardization.
• Translate complex business requirements into technical data models and orchestration patterns.
• Architect LLM-powered solutions to convert natural language queries into actionable insights.
• Optimize warehouse performance, data sharing, and automated workflows via APIs and scripting.

Required Skills

• 12+ years of experience in enterprise data architecture and analytics platforms.
• Deep expertise in Snowflake warehouse architecture and performance optimization.
• Hands-on experience with dbt Cloud, including Semantic Layer implementation and governed modeling.
• Architectural knowledge of Snowflake Cortex, OpenAI, or Azure OpenAI for LLM integration.
• Advanced proficiency in SQL and complex data modeling.
• Experience integrating BI tools like Tableau with data platforms.
• Practical knowledge of metadata and governance platforms such as Atlan, Alation, or Collibra.
• Working knowledge of Git-based CI/CD practices for data pipeline deployment.
• Any Graduate degree.

Key Skills

Education

Any Graduate