Lead Data Engineer

Description: Serve as the hands-on technical lead for complex, client-facing data engineering engagements. Own the architecture and build of scalable, reliable data solutions on Databricks and cloud platforms. Requirements: 8+ years of hands-on data engineering experience with production-grade data platforms. Expert-level knowledge in Apache Spark and proficiency in Python; Scala experience is a plus. Experience with Databricks, including Delta Lake architectures and cloud platforms (AWS, Azure, GCP). Proven track record in leading data engineering projects in a client-facing context. Strong communication skills for engaging with technical and non-technical stakeholders. Benefits: Opportunity to work in a creative and empowering environment with minimal bureaucracy. Chance to mentor and raise the technical standards of junior engineers.