Lead Data Engineer

• Design, develop, and test data acquisition, integration, and transformation pipelines

• Build scalable data architectures enabling Data-as-a-Service across business units

• Develop and manage data pipelines using Azure PaaS tools and cloud services

• Implement and maintain DevOps CI/CD pipelines for data engineering workflows

• Work with Azure ADF, ADLS, Databricks, SQL, and SAP Data Services

• Develop infrastructure components for cloud and edge environments

• Enable containerized deployment models for scalable data solutions

• Collaborate with business stakeholders to define data requirements and solutions

• Support analytics, reporting, and data product development initiatives

• Manage multiple data engineering projects in Agile environments

• Ensure performance, scalability, and reliability of data platforms