Job Title: Databricks Full Stack Engineer
Location: Remote
Contract: 12 Months – Possible for extension
Job Overview
The Full Stack Engineer is expected to design and build end-to-end data and AI applications using Databricks-native functionality. After understanding the business context, you will deliver production-grade solutions that span the data layer, the application layer, and the user experience, using Databricks Apps, Genie, the Lakehouse, and Lakebase as core building blocks.
This role is for individuals passionate about turning data into usable products. You will work directly with clients and with the team’s product managers, data engineers, and AI/ML engineers to translate business needs and feature requirements into well-architected, secure, and scalable applications. You will be responsible for the execution of our established delivery methodology, and you will help clients understand what is possible on the Databricks platform as they shape their future roadmap.
It is a key part of the role to explain technical designs and trade-offs in non-technical terms. The Full Stack Engineer will interface with Perficient technical and business delivery personnel, as well as vendors and customers on a regular basis.
Qualifications: