Description

You will design, implement, and manage the organization's data architecture to support analytics and business intelligence.

Responsibilities

• Define data requirements and structure, designing data warehouses, data lakes, and lakehouse models focusing on Snowflake architecture.
• Architect and manage end-to-end data integration solutions and pipelines (batch and real-time) using ETL/ELT tools or custom scripting.
• Optimize Snowflake performance, manage costs, and utilize features like virtual warehouses and zero-copy cloning.
• Develop and maintain data models while enforcing data governance, security (RBAC, masking), and quality policies.
• Partner with engineers and stakeholders to translate business needs into scalable technical solutions and maintain architectural documentation.

Required Skills

• 5+ years of proven experience in data architecture and engineering.
• Expertise with the Snowflake data platform, including data warehousing concepts and performance tuning.
• Strong proficiency in SQL.
• Experience with ETL/ELT Pipelines, Talend, Informatica, and Airflow.
• Proficiency in Python and Spark.
• Familiarity with cloud platforms: AWS, Azure, or GCP.
• Experience designing and managing data lakes/data meshes.

Key Skills

Education

Any Graduate