Lead Data Engineer

Lead Data Engineer

Overview

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 AWS
• Extensive, practical experience with Databricks
• Fluency in Python (PySpark and Pandas), T-SQL, and SQL
• Working knowledge of architectural frameworks: medallion, data mesh, and SOA-based data layers
• Comfort working with Power BI, Git, and SSMS
• Familiarity with data governance and cataloging
• Excellent communication and teamwork skills, plus the ability to lead and influence others

Nice-to-Haves (Strengthens Your Application)

• 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
• AWS and Databricks certifications