Delivery Solutions Architect

Responsibilities

• 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 strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
• Drive onboarding, enablement, success, go-live, and healthy consumption of workloads
• Be the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources; escalate to expert-level technical experts as needed
• Create, own, and execute a point of view on how key use cases can be accelerated into production; coordinate with Professional Services on delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Develop an execution plan covering all activities of customer-facing technical roles and teams across work streams: main use cases moving from 'win' to production, enablement/user growth plan, product adoption, organic needs for current investment, and executive and operational governance
• Provide internal and external updates including KPI reporting on usage status, customer health, investment status, risks, product adoption, and use case progression

Requirements

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

Nice-to-Haves

• Experience with Databricks Data Intelligence Platform, Lakehouse, Apache Spark, Delta Lake, or MLflow