Description

You will design and implement enterprise-scale data models, architectures, and analytics solutions. This role is on-site.

Responsibilities

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

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, PySpark, Snowflake, or Databricks.
• 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.
• 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