Databricks
Mid
Own post-sale technical delivery for Databricks' most complex customers, from onboarding to production
Databricks is hiring a Delivery Solutions Architect (Amsterdam) to be the accountable technical lead driving strategic accounts' use cases from 'won' to live production consumption across the Data Intelligence Platform. It's a hybrid technical/commercial role blending Python/Spark/Databricks credibility with stakeholder management, escalation handling, and executive-level communication.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Post-sale technical account strategy and execution for strategic customers
- Python/Spark/Databricks programming credibility with customers
- Cross-team orchestration (Professional Services, Support, Product/Engineering)
- Executive stakeholder management and escalation resolution
- Discovery workshops, roadmapping, and business-value attribution
- Driving use cases from technical win to production adoption
Common question themes
Describe an account where you owned the technical strategy from post-sale win to go-live
Walk through a complex escalation you resolved with a senior customer executive
How do you decide when to escalate to Professional Services or specialist teams versus handling it yourself
Tell me about a discovery workshop or roadmap you built for an ambiguous customer need
How do you attribute business value/ROI to a specific technical deliverable
How do you manage multiple use cases and stakeholders within one large, complex account simultaneously
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