Experience: 5+ years in data engineering or architecture, with at least 4+ years in a senior or architect role focused on cloud solutions using Databricks
Azure Expertise: Deep, hands-on experience with the Azure data ecosystem, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.
Databricks Proficiency: Proven expert-level ability to design and build solutions using Databricks for large-scale data processing (ETL/ELT) and analytics.
Modern Data Tooling: Strong, practical experience using dbt for data transformation, modeling, and testing within a cloud data warehouse environment.
Data Warehousing: Solid understanding of data warehousing principles, including Kimball/Inmon methodologies, dimensional modeling, and schema design.
Infrastructure as Code (IaC): Experience using tools like Terraform or ARM templates to define and manage cloud infrastructure.
