Lead Data Engineer
Core
Design, develop, and lead scalable data platforms on Azure, including real-time processing systems and lakehouse solutions, to support advanced analytics and business decision-making.
Role type
Lead Data Engineer (People Management)
Builds
Enterprise-level data pipelines, real-time data solutions, and lakehouse architectures on Azure.
Domain
Enterprise software development, Big Data, Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Azure data ecosystem, Hadoop, Azure Databricks, Stream Analytics, Eventhub, Kafka, relational and dimensional data modeling, SQL Server, T-SQL, stored procedure development, MS BI stack, Azure data factory, Azure data lake, Azure SQL DB, Azure DW/Synapse, Azure ML, Python, Scala, big data technologies, Power BI, Azure Analysis Services
Preferred skills
Business stakeholder collaboration, requirements analysis, use case analysis, creative problem-solving
Technologies
Azure, Hadoop, Databricks, Kafka, Spark, Scala, SQL Server, Power BI
Responsibilities
Lead and guide a Scrum team of data engineers; design and develop optimized enterprise data pipelines for real-time data movement; review business use cases for data ingestion, transformation, and storage; improve data governance and operational excellence; conduct code reviews and create technical solution documents; align with engineering leadership on technical execution.
Seniority
Senior, hands-on IC with people management
