We are seeking a Lead Data Integration Engineer to design, build, and maintain scalable data integration pipelines across cloud and enterprise systems. The role focuses on data ingestion, transformation, orchestration, and automation using Azure Data Factory, Databricks, and the broader Azure data ecosystem. Responsibilities Design and develop ETL/ELT pipelines using Azure Data Factory Integrate data from databases, APIs, files, SaaS platforms, and cloud storage Build and manage data workflows, triggers, linked services, datasets, and pipelines Implement data validation, monitoring, error handling, and performance optimization Leverage Azure Data Lake, Azure SQL, Synapse, and Databricks as needed Partner with data engineers, analysts, and business teams to deliver reliable data solutions Support deployment, CI/CD, security, and access controls for data pipelines Requirements 5+ years of hands-on experience with Azure Data Factory Proficiency in SQL and data integration concepts Experience with Azure data services such as ADLS, Azure SQL, and Synapse Background in Databricks for data processing and transformation Proficiency in English at a B2+ level
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10330481
- Position Id: c4c073e34e0d08ee4ad1f4905efea639
- Posted 11 days ago
