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.

Opportunity to work in a creative and empowering environment with minimal bureaucracy.
Chance to mentor and raise the technical standards of junior engineers.

Skills