This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, collaborating with sales and field engineering teams to guide customers through onboarding, enablement, and healthy consumption of Databricks workloads. The role involves managing technical account strategy, resolving production issues, coordinating with internal teams and professional services, and navigating product/engineering for innovations. While the company is in the AI space and the role touches AI workloads, the core function is customer-facing technical account management and solution delivery, not direct AI/ML model building or research.

Databricks is seeking a Sr. Solutions Engineer in Auckland, New Zealand, to help clients leverage their Data Intelligence Platform. The role involves building client relationships, demonstrating the platform's capabilities through hands-on evaluations and Spark programming, contributing to the technical community, and acting as a Big Data Analytics advisor. The ideal candidate will have experience working with clients, delivering technical propositions, coding in Python, Java, or Scala, and knowledge in Big Data Analytics and public cloud platforms.