Description

You will design, build, and optimize scalable enterprise data platforms on AWS and Snowflake.

Responsibilities

• Design end-to-end cloud-native data architectures on AWS, covering storage, compute, ingestion, and orchestration.
• Architect, implement, and optimize data platforms leveraging AWS and Snowflake.
• Develop scalable data virtualization strategies using Denodo for unified data access and semantic modeling.
• Lead the design of real-time, batch, and event-driven data integrations using modern ETL/ELT frameworks.
• Provide architectural guidance for enterprise analytics and AI/ML workloads.

Required Skills

• 7+ years of experience in data architecture.
• Expertise in AWS and Snowflake environments.
• Proficiency in Python.
• Experience with Data Virtualization technologies, specifically Denodo.
• Knowledge of modern ETL/ELT frameworks.
• Experience integrating structured and semi-structured data (JSON, Parquet).
• Understanding of data modeling standards (3NF, dimensional, data vault, data mesh).
• Experience with cloud-native data ingestion and orchestration patterns.

Key Skills

Education

Any Graduate