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Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, real-time analytics, and lakehouse architectures. Advise senior technical stakeholders, lead architecture discussions, build demonstrations, drive competitive technical wins, coordinate internal and partner resources, and provide product feedback. Develop a technical specialization and communicate complex architectures as business value.

Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior technical stakeholders, lead architecture discussions, demonstrate competitive differentiation, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Lead technical strategy for strategic Benelux customer accounts, from discovery through production deployment and growth. Design scalable solutions across data engineering, machine learning, AI, streaming, real-time analytics, and cloud-native platforms. Advise senior technical stakeholders, lead architecture reviews, demonstrate competitive solutions, coordinate delivery and partner resources, drive Databricks adoption, and provide product feedback. The role is office-based in Amsterdam with a hybrid schedule and an initial 12-month fixed-term contract.

Lead time-boxed customer engagements across Benelux and the Nordics, owning technical strategy, architecture, solution design, whiteboarding, and production-grade implementations across data engineering, AI/ML, streaming, and real-time analytics. Demonstrate Databricks in competitive opportunities, advise senior stakeholders, accelerate technical wins, and transition successful solutions to account teams and specialists.

Lead short-term, high-impact customer engagements from technical evaluation to production-grade wins. Design scalable solutions across data engineering, machine learning, AI, real-time analytics, cloud infrastructure, security, and governance. Lead architecture discussions, whiteboarding, design reviews, technical demonstrations, and trade-off decisions with senior stakeholders. Build and debug solutions in Python and SQL, demonstrate Databricks capabilities, accelerate adoption, and transition completed work to account teams and specialists.

Lead AI product adoption and technical go-to-market strategy across Asia Pacific and Japan. Advise customers and executives on data, analytics, machine learning, and generative AI architectures; deliver presentations, demos, and competitive pitches; support field engineering and sales teams; develop enablement materials; influence product direction; lead specialist teams; and represent Databricks through conferences, webinars, and published content.

Customer-facing engineer who designs, builds, and productionizes GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, collaborate with product and engineering, present at conferences, and optimize/evaluate models and deployments across cloud platforms.

Leads technical engagements for Benelux customers, including discovery, solution design, platform demonstrations, proofs of concept, architecture reviews, and technical strategy. Builds production-quality data and AI solutions on Databricks, develops reusable technical assets, manages customer engineering relationships, and partners with Account Executives to expand platform adoption and consumption.

Serve as the technical lead in pre-sales for large enterprise accounts, defining technical strategy, driving Databricks adoption for data, ML and AI use cases, building technical champions, mentoring peers, and aligning solutions with customer transformation goals.