The Principal Data Engineering Lead guides the design, development, and optimization of large-scale data platforms and cloud-based analytics environments. This role provides architectural direction for complex engineering initiatives while remaining hands-on with modern data technologies. The lead drives technical best practices, ensures platform scalability, and influences data engineering strategy across business domains. Responsibilities include mentoring engineering teams, conducting design reviews, and partnering with cross-functional groups to translate requirements into technical solutions. The position also focuses on cloud modernization efforts, including migration and consolidation of data lakehouse structures.

Candidates must possess between 4 and 13 years of relevant work experience depending on their level of education, which includes a Bachelor’s, Advanced, or PhD degree. The role requires advanced expertise in building large-scale distributed data systems and proficiency in programming languages such as PySpark, Scala, and Python. Applicants must demonstrate mastery of SQL, distributed query engines, and cloud-native data technologies across AWS, GCP, and Azure. Additionally, the position requires deep experience with Databricks, including cluster configuration, CI/CD integration, and performance tuning.