Lead Data Engineer

In this role, you will design, build, and deliver high-performing, scalable data pipelines and platforms in the cloud. You will drive the move toward modern architectures such as the Lakehouse model and Databricks, improve data integration and governance practices, enable analytics and AI/ML initiatives, and coach engineers and analysts to raise the technical bar and capability of the team. What You Bring (Must-Haves)A bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline Seven to ten years of hands-on experience implementing cloud data architecture, at least five of them in AWSExtensive, practical experience with Databricks Fluency in Python (PySpark and Pandas), T-SQL, and SQLWorking knowledge of architectural frameworks: medallion, data mesh, and SOA-based data layers Comfort working with Power BI, Git, and SSMSFamiliarity with data governance and cataloging Excellent communication and teamwork skills, plus the ability to lead and influence others Experience designing and building scalable data architectures on AWS and Databricks Experience leading cloud migrations and modernizing legacy data environments Any experience working with data governance, security, and compliance in complex, large-scale environments