Delivery Solutions Architect
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 job
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
Python, SQL, Scala, Solutions Architecture, Distributed Data Systems, Technical Program Management, Project Management, Stakeholder Management, Pre-Sales, Customer Success
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