Delivery Solutions Architect

As a Delivery Solutions Architect (DSA) at Databricks, you will collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform. You will be the post-sale technical lead across all Databricks products, driving customer success and maximizing return on investment. This is a hybrid technical and commercial role, reporting to a DSA Manager within the Field Engineering organization.

• Lead the post-technical win technical account strategy and execution plan for Databricks use cases within strategic accounts.
• Be the accountable technical leader for specific use cases and customers, driving onboarding, enablement, success, go-live, and healthy consumption.
• Serve as the first contact for technical issues related to production/go-live status of agreed use cases.
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert-level technical experts as needed.
• Create and execute a point-of-view on accelerating key use cases into production, coordinating with Professional Services on engagement proposals.
• Navigate Databricks Product and Engineering teams for new innovations, private previews, and upgrade needs.
• Develop an execution plan covering all customer-facing technical roles and teams, including use case progression, enablement, product adoption, organic needs, and governance.
• Provide internal and external updates, including KPI reporting on usage and customer health.

• 5+ years of experience accountable for technical project/program delivery in Data and AI, contributing to technical debate and design choices.
• Programming experience in Python, SQL, or Scala.
• Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
• Understanding of solution architecture related to distributed data systems.
• Ability to attribute business value and outcomes to project deliverables.
• Technical program/project management including account, stakeholder, and resource management accountability.
• Experience resolving complex escalations with senior customer executives.
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, and managing complex programs.
• Track record of overachievement against quota or similar targets.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• Can travel up to 30% when needed.

Local Pay Range: $180,000—$247,500 USD. Total compensation may include annual performance bonus, equity, and benefits. Databricks offers comprehensive benefits and perks; specific details vary by region.