Senior Data Engineer to lead the design, development, and optimization of data solutions on Azure Databricks
· Lead the design and development of end-to-end data pipelines on Azure, leveraging Databricks, Azure Data Lake, and ADLS Gen 2.
· Implement scalable ETL/ELT pipelines for structured, semi-structured, APIs, and unstructured data.
· Collaborate with Data Scientists, Business Analysts, and other stakeholders to translate business requirements into robust data solutions.
· Optimize data workflows for performance, reliability, and cost-efficiency in cloud environments.
· Establish and enforce data quality, governance, and validation standards.
· Provide guidance on data modeling, schema design, and metadata management to support analytics and AI workloads.
· Monitor and troubleshoot production data pipelines and recommend performance improvements.
· Evaluate emerging Azure and Databricks technologies and propose enhancements to our data architecture.