Databricks Lead Data Engineer

Job Overview: As a Databricks Lead Data Engineer, you are expected to lead the development team and have strong development and programming skills in Python, SQL, Pyspark, Databricks, Notebook Repositories, Medallion Architecture, CI/CD, and ETL platforms associated with Data Lakehouse solutions. You are expected to be experienced and fluent in agile development and agile tools. You will work with architects and infrastructure teams to develop, test, deploy and troubleshoot your code as well as provide input into solutions and design of the system. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions focused on our clients' business needs. From time to time, you will participate in customer discovery sessions, responding to customer proposal requests etc. The ability to report to a Perficient office is required. We have office locations in major cities such as Houston, TX, Dallas, TX, Chicago, IL, Saint Louis, MO, Detroit, MI, Irvine, CA, New York, NY, Minneapolis, MN Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.