Delivery Solutions Architect

Job title: Delivery Solutions Architect

About the Role Databricks Delivery Solutions Architect (DSA) collaborates with sales and field engineering to accelerate the adoption and growth of the Databricks platform. You will be the post-sale technical lead across Databricks products, guiding complex use cases from onboarding to production while balancing technical credibility with strategic account growth. This is a hybrid technical and commercial role reporting to a DSA Manager in the Field Engineering organization.

What You'll Do

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical-win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live and healthy consumption of the workloads
• Be the first point of contact for technical issues or questions related to production/go-live status of agreed-upon use cases within an account
• Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, and escalate to expert-level technical experts to build the right tasks beyond your scope
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production; Enablement / user growth plan; Product adoption; Organic needs for current investment; Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What We're Looking For

• 5+ years of experience accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate 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 related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience
• Can travel up to 30%

Compensation & Benefits

• Benefits are comprehensive and region-specific; details are provided via Databricks regional pages. This section outlines the presence of benefits and commitment to diversity and inclusion; exact offerings vary by location.