Delivery Solutions Architect

In this role you drive post-sale technical leadership and strategy for Databricks’ most strategic customers, aligning cross-functional teams to accelerate production adoption and value realization. You partner with sales, field engineering, and executives to shape plans, ensure successful go-lives, and drive healthy consumption of Databricks workloads. You balance technical credibility with business outcomes, guiding complex initiatives from discovery to deployment and ongoing enablement. This role blends technical mentorship, account strategy, and cross-team orchestration to scale impact across key use cases.

• Understand prioritised use cases by engaging Solutions Architects and customers
• Lead post-technical win strategy and execution for major use cases
• Act as the accountable technical leader across use cases and customer teams
• Serve as first point of contact for production/go-live issues and escalation handling
• Leverage Shared Services, Education, Onboarding, and Support to build tasks beyond scope
• Create and drive a point-of-view to accelerate use cases into production with PS coordination
• Coordinate with Product and Engineering for new features, previews, and upgrades
• Develop end-to-end execution plans covering enablement, adoption, governance, and delivery
• Provide KPI and status updates on usage, health, risks, and adoption to Technical GM

• 5+ years delivering technical projects in Data and AI
• Programming experience in Python, SQL or Scala
• Experience in customer-facing pre-sales, technical architecture, or consulting roles
• Understanding of distributed data systems and solution architecture
• Ability to attribute business value to project deliverables
• Technical program/project management with stakeholder and resource management
• Experience resolving escalations with senior executives
• Experience running discovery workshops, strategic roadmaps, and complex program delivery
• Track record of overachievement against quotas or goals
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent
• Willingness to travel up to 30%

• stakeholder management
• effective communication with executives
• problem-solving under ambiguity
• Python
• SQL
• Scala