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Delivery Solutions Architect

180k – 248kUnited StatesRemote5+ YOE
Summary

Hybrid technical-commercial role leading post-sale technical strategy for strategic Databricks customers. Drive adoption, go-live, and consumption of Data/AI workloads while managing complex programs and executive relationships.

About the role

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, Support resources, and escalate to expert-level technical experts
  • Create, own, and execute a point of view as to how key use cases can be accelerated into production
  • Coordinate 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 covering all activities of customer-facing technical roles and teams across work streams including:
    • Main use cases moving from 'win' to production
    • Enablement/user growth plan
    • Product adoption strategy and activities
    • 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 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, Apache Spark, Delta Lake, or MLflow
Skills
PythonSQLScalaSolution ArchitectureDistributed Data SystemsTechnical Program ManagementProject ManagementStakeholder ManagementPre-SalesCustomer Success
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