Sr. 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, escalating to expert level technical experts as needed
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources
• 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 including:
  • Main use cases moving from 'win' to production
  • Enablement / user growth plan
  • Product adoption strategy
  • Organic needs for current investment (cloud cost control, tuning & optimization)
  • 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 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, Apache Spark, Delta Lake, or MLflow