Delivery Solutions Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be a hybrid technical and commercial leader who drives growth in your assigned customers. You will lead post-win technical strategy, be the first contact for production and go-live questions, build execution plans across use cases, coordinate with Professional Services and Product teams, and report on usage and customer health.
Requirements
- 7+ years accountable for technical project/program delivery in Data and AI
- Programming experience in Python, SQL or Scala
- Experience in customer-facing pre-sales, technical architecture, customer success or consulting
- Understanding of distributed data systems architecture
- Technical program or project management and stakeholder management
- Experience resolving escalations with senior customer executives
- Experience running discovery workshops and creating strategic roadmaps
- Track record of overachievement against quota or goals
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Can travel up to 30%
Responsibilities
- Engage with Solutions Architects to understand the use case demand plan for prioritized customers
- Lead post-technical-win account strategy and execution plan for strategic accounts
- Act as accountable technical leader for specific use cases across multiple teams
- Be first contact for technical issues related to production and go-live
- Leverage shared services and escalate to expert technical teams
- Own a point of view on accelerating use cases into production and coordinate PS proposals
- Navigate Product and Engineering teams for new innovations and previews
- Develop execution plans covering use cases, enablement, adoption, cost control and governance
- Provide KPI reporting on usage and customer health to your Technical GM