• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services. • Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components. • Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. • Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling. • Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB. • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes. • Implement data quality checks, validation frameworks, and monitoring for critical data assets. • Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls. • Develop and maintain documentation for data engineering processes and solutions.