About The Position

The Delivery Solutions Architect (DSA) helps Databricks customers adopt and expand use of the Databricks Data Intelligence Platform, with a focus on complex public-sector customers and workloads. The role collaborates with sales and field engineering teams, provides technical accountability after a technical win, and guides customers toward successful onboarding, enablement, production go-live, and healthy platform consumption. It combines commercial responsibilities—driving growth, stakeholder leadership, executive relationship-building, and coordination of Databricks teams—with serving as the post-sale technical lead across Databricks products. The position reports to a DSA Manager in Field Engineering. It is remote and East Coast-based, with up to 30% travel. U.S. citizenship is required due to federal contract and client-site access requirements.

Requirements

  • U.S. citizenship.
  • At least 7 years of experience accountable for technical project or program delivery in Data and AI, with the ability to contribute to technical debates and design choices with customers.
  • Programming experience in Python, SQL, or Scala.
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
  • Understanding of solution architecture for distributed data systems.
  • Ability to attribute business value and outcomes to project deliverables.
  • Technical program or project management experience, including accountability for account, stakeholder, and resource management.
  • Experience resolving complex, important escalations with senior customer executives.
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs or projects.
  • Track record of overachievement against quota, goals, or similar objective targets.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
  • Ability to travel up to 30% when needed.

Responsibilities

  • Work with Solutions Architects to understand prioritized customers’ full use-case demand plans.
  • Lead post-technical-win account strategy and execution for most Databricks use cases in strategic accounts.
  • Serve as the accountable technical leader for assigned use cases and customers across selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy workload consumption.
  • Act as the first contact for technical questions or issues related to production and go-live status for agreed use cases.
  • Coordinate Shared Services, User Education, Onboarding/Technical Services, Support, and expert technical resources, escalating work beyond the role’s scope or expertise.
  • Create, own, and execute plans to accelerate key use cases into production, coordinating with Professional Services on engagement proposals.
  • Navigate Databricks Product and Engineering teams for product innovations, private previews, and upgrades.
  • Develop execution plans spanning use cases moving from win to production, enablement and user growth, product adoption, organic needs such as cloud cost control and optimization, and executive and operational governance.
  • Provide internal and external KPI updates to the Technical GM on usage, customer health, investment status, risks, product adoption, and use-case progress.
  • Drive growth in assigned customers and use cases by leading stakeholders, building executive relationships, coordinating specialized teams, and creating strategies for Databricks colleagues to execute.

Benefits

  • Potential eligibility for an annual performance bonus and equity; specific benefits vary by region and are described through the company’s benefits information.
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