Description

You will design and optimize secure, scalable data architectures on Snowflake for analytics and machine learning workloads.

This role is on-site.

Responsibilities

• Design data models and ETL/ELT patterns using Snowflake features like Zero-Copy Cloning, Time Travel, and Tasks/Streams.
• Implement security, governance, and compliance controls (GDPR, SOC2, HIPAA) across cloud platforms.
• Build and maintain data pipelines using Python, Scala, and modern stack tools like dbt and Airflow.
• Integrate Snowflake Cortex AI capabilities, including vector embeddings and RAG patterns, for generative AI applications.
• Manage stakeholder communication and lead architectural decisions for data engineering initiatives.

Required Skills

• 10+ years of experience in data architecture, engineering, or platform roles.
• Deep expertise in Snowflake architecture, including warehouses, resource monitors, and security controls.
• Strong proficiency in SQL, data modeling (conceptual, logical, physical), and cloud platforms (AWS, Azure).
• Hands-on experience with Python, Scala, dbt, and orchestration tools like Airflow.
• Solid understanding of data governance, quality, lineage, and compliance standards.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent experience.

Preferred Skills

• SnowPro Core Advanced or Architect certifications.
• Experience with Data Vault 2.0, dimensional modeling, or domain-driven design.

Key Skills

Education

Bachelor's or Master's degrees