Description

You define and own end-to-end data platform architecture with Snowflake as the core warehouse, designing scalable batch and streaming systems on AWS.

This role is on-site.

Responsibilities

• Design and implement enterprise logical data models (LDM) aligned to business domains.
• Build and maintain ELT pipelines and platform components using Python and Snowflake.
• Establish data governance, cataloging, lineage, and secure access controls.
• Optimize data platform performance and reliability standards.

Required Skills

• 10+ years in data engineering, analytics, or data platform roles.
• Deep expertise in Snowflake architecture, performance tuning, and data modeling.
• Strong AWS Cloud architecture skills for data platform implementation.
• Proficiency in Python and SQL for pipeline development and query optimization.
• Proven experience designing ETL/ELT systems for structured and unstructured data.

Preferred Skills

• Experience with Snowflake ecosystem tooling and modern semantic layers.
• Exposure to real-time event-driven architectures and SaaS environments.
• Familiarity with AI/ML concepts, LLM/RAG, vector databases, or GenAI.

Key Skills

Education

Any Graduate