Description

You will design and implement enterprise-scale data models and modern data architectures.

Responsibilities

• Lead projects focused on data warehousing, data modeling, and data analysis.
• Design and implement data architectures using Azure Databricks and PySpark.
• Develop data models for enterprise data warehouses and manage entity-relationship modeling.
• Implement metadata systems and data quality implementations.
• Implement real-time data distribution and modern data warehouse tools.

Required Skills

• 10+ years of experience in BI and analytics.
• 5+ years as a data architect designing enterprise data warehouse models.
• Proficiency with SQL, NoSQL, HANA, Oracle, Hadoop, or Teradata.
• Experience with Azure Databricks and PySpark.
• Hands-on experience with ETL, Power BI, and Tableau.
• Knowledge of cloud services including AWS, Azure, or GCP.
• Experience with real-time data distribution using Kafka or Dataflow.
• Experience with modern data warehouse tools such as Snowflake or Databricks.
• Programming proficiency in Python, Java, or C/C++.
• Bachelor’s degree in Data Science, Computer Science, or a foreign equivalent.

Key Skills

Education

Bachelor's degree in Computer Science