Lead the design and implementation of scalable, secure, and cost-effective data solutions using Microsoft Azure Data services (e.g., Azure Synapse, Azure Data Factory, Azure Data Lake).
Develop modern data ingestion and transformation pipelines (ETL/ELT) , leveraging Fabric (Data Factory, Synapse Engineering) components for high-volume data processing.
Define data governance, security, and architecture standards , including data modeling, data quality, and metadata management across the Azure ecosystem.
Provide technical leadership and mentorship, ensuring best practices for performance tuning and optimization of data storage and analytics solutions.
Collaborate with business and engineering teams to translate complex data requirements into robust, future-proof architectural blueprints.
Implement CI/CD practices for data pipelines and infrastructure as code (IaC) to automate deployment and ensure operational excellence.