Role Overview
We are looking for a AI Azure Data Architect who can both design and build modern enterprise data solutions.
This is a hands-on architecture role. The ideal candidate can define architecture, model data, design pipelines, make technology decisions, troubleshoot production issues, and work directly with engineers and clients to deliver real solutions.
The primary focus is data architecture and data engineering.
Must-Have Experience
- 8 to 15+ years of experience in data architecture, data engineering, integration, analytics, or cloud data platforms.
- Strong hands-on SQL, data engineering experience and AI Development.
- Practical experience with Snowflake, Databricks, Spark, dbt, Python, AWS, Azure, or similar technologies.
- Strong understanding of data warehousing, data lake, lakehouse, and modern cloud data architecture.
- Experience designing production pipelines using ETL, ELT, CDC, APIs, orchestration, and batch processing.
- Strong data modeling skills, including canonical, logical, physical, and dimensional modeling.