Description

You will design and oversee large-scale data architectures leveraging Azure and Snowflake environments.

Responsibilities

• Architect end-to-end data solutions using Azure Databricks and Snowflake.
• Design and implement scalable ETL processes and data pipelines.
• Direct the integration of Apache Spark and PySpark frameworks within the data ecosystem.
• Provide technical leadership for complex data architecture requirements.

Required Skills

• 15+ years of professional experience in data architecture or engineering.
• Deep expertise in Azure Architect roles and cloud data infrastructure.
• Advanced proficiency with PySpark and Apache Spark.
• Hands-on experience with Snowflake data warehousing.
• Proven track record designing and managing ETL workflows.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate