Sr. 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 act as the post-sale technical lead for Databricks use cases in your most strategic accounts. You will build and execute account strategies, take the first contact role for production issues, coordinate Professional Services, Product and Engineering teams, and report on usage, customer health and risks. You will build executive relationships and drive growth in a hybrid technical and commercial role. You will report to a Field Engineering Manager.
Requirements
- 8+ 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 solution architecture for distributed data systems
- Ability to attribute business value to project deliverables
- Program/project management including account, stakeholder and resource management
- Experience resolving escalations with senior customer executives
- Experience conducting discovery workshops, strategic roadmaps and business analysis
- 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% when needed
Responsibilities
- Engage with Solutions Architects to understand the use case demand plan for prioritised customers
- Lead post-technical win account strategy and execution plan for Databricks use cases
- Act as the accountable technical leader for use cases driving onboarding, enablement, go-live and consumption
- Serve as first contact for technical issues related to production/go-live status
- Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources and escalate to experts
- Create and execute a point of view on accelerating use cases into production with Professional Services
- Navigate Product and Engineering teams for new innovations, private previews and upgrades
- Develop execution plans covering use case production, enablement, product adoption, cost control and governance
- Provide KPI reporting on usage and customer health to your Technical GM