Description:

Senior-level role focused on design, development, and ownership of data solutions on Snowflake Data Cloud.
Lead architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards.

Requirements:

5+ years of hands-on experience in data engineering with a strong professional track record.
Proven expertise with Snowflake, including performance optimization, cost management, and data architecture.
Solid knowledge of SQL and at least one scripting language (preferably Python).
Experience designing and building ELT/ETL pipelines across various patterns.
Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse.
Experience with at least one cloud platform (AWS, Azure, or GCP).

Opportunity to work with a leading Snowflake Elite Partner.
Engage in challenging and rewarding projects with significant impact on enterprise organizations.

Skills