- Lead the design and implementation of enterprise-scale data platforms on Azure.
- Drive architecture, development, and optimization of data pipelines using Azure Databricks.
- Develop scalable ETL/ELT solutions using PySpark and Spark frameworks.
- Lead data ingestion, transformation, and processing for structured and unstructured data.
- Design Lakehouse architectures for enterprise reporting and analytics.
- Collaborate with business stakeholders, architects, and analytics teams to define data solutions.
- Ensure platform scalability, performance, security, and cost optimization.
- Establish Data Engineering best practices, coding standards, and CI/CD processes.
- Mentor and guide a team of data engineers and provide technical leadership.
- Support customer-facing discussions, solution design workshops, and architecture reviews.