Extracted from the posting
TL;DR
Lead Data Engineer role, listed for a partner company and based in the United States, leading migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse in a federal environment. Responsibilities include reconciliation, data quality gates, and reusable pipelines built with Azure Data Factory and Azure Databricks. Stack includes Apache Spark, Delta Lake, advanced SQL, and Python.
The full posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in the United States.
As Lead Data Engineer, you will drive the technical strategy and execution of large-scale data modernization initiatives within a federal technology environment.
You will lead the migration of legacy data warehouses and pipelines to a modern Azure and Databricks lakehouse architecture.
Working closely with data engineering teams, you will establish scalable migration frameworks, data quality standards, and reconciliation processes.
Your expertise will help ensure data accuracy, performance, and reliability throughout complex cloud transformation projects.
You will provide technical guidance, resolve challenging engineering issues, and mentor engineers to strengthen delivery capabilities.
Collaborating with Product, QA, and Platform teams, you will ensure technical solutions align with project objectives and customer expectations.
This is an opportunity to make a meaningful impact through modern data engineering solutions supporting critical public-sector services.
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