Description

Lead the design and implementation of enterprise data platforms, data warehousing, and AI workloads.

This role is hybrid.

Responsibilities

• Design and implement scalable data warehouse architectures for reporting and analytics.
• Develop and optimize Azure ETL pipelines using Azure-native tools and Databricks.
• Build and maintain logical and physical data models using dimensional modeling techniques.
• Write, optimize, and tune PL/SQL packages for high-performance database workloads.
• Translate complex business requirements into robust technical solutions across the full SDLC.

Required Skills

• 3+ years of experience with Azure data services and ETL processing.
• 3+ years of experience with data warehousing methodologies and architecture.
• Strong expertise with Azure Databricks.
• Hands-on experience writing and optimizing PL/SQL.
• Proficiency in logical and physical data modeling.
• Strong understanding of dimensional modeling techniques.
• Experience with database performance tuning and query optimization.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).

Key Skills

Education

Bachelor's degree