Description

Design and oversee large-scale data architectures leveraging Azure and Snowflake environments.

You will own end-to-end data solutions using Azure Databricks and Snowflake, implementing scalable ETL processes and data pipelines. You will direct the integration of Apache Spark and PySpark frameworks and provide technical leadership for complex data architecture requirements.

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.
• Oversee large-scale data architectures in Azure and Snowflake environments.

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.
• Experience with large-scale data system design.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate