Description:

Lead the design and evolution of cloud-based data and AI platforms for advanced analytics and machine learning.
Define enterprise-scale data architecture and build AI-ready data ecosystems.

Requirements:

9+ years of experience in data architecture and AI solutions, particularly on Microsoft Azure.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Strong expertise in data modeling, data warehousing, and cloud-native application design.
Hands-on experience with SQL Server, Azure Data Lake, Azure Data Factory, Databricks, Spark, and Python.
Familiarity with MLOps and LLMOps tools, and experience mentoring technical teams.

Skills