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Customer-facing engineering role that designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Lead architecture and implementation of data pipelines, ML/AI model integration, and user-facing applications, collaborate cross-functionally, deliver production deployments, provide customer training and support, and contribute reusable assets and product feedback.

Lead technical pre-sales engagements for Databricks, demoing Spark and data/AI solutions, building architectures, authoring reference materials, and collaborating with account teams to design and deliver customised proofs-of-concept and workshops.

Sell Databricks Lakebase (managed Postgres) to UKI customers by driving revenue, running multi-threaded sales cycles, orchestrating POCs, engaging platform and application teams, and enabling field teams to adopt Lakebase for operational and AI-native applications.

Lead pre-sales technical engagements to architect end-to-end Data & AI solutions on the Databricks Lakehouse. Coach junior architects, design and deliver complex PoCs, drive customer adoption of Generative AI/LLM solutions (fine-tuning, RAG, MLOps), and collaborate with account teams across UK&I and EMEA.

The Senior Staff Software Engineer will design, develop, and maintain backend systems for Databricks, ensuring high performance and reliability while mentoring junior engineers and leading projects.

Customer-facing engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements pipelines, integrates ML/AI models, supports deployments, mentors customers, and contributes reusable assets to scale impact.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end projects including data pipelines, distributed Spark workloads, MLOps and model integration, provides architecture guidance, embeds with customer teams, delivers reusable assets, and drives measurable outcomes.

Drive adoption of Databricks solutions in the Middle East, develop strategic engagement with clients, and close new business deals.

Lead a regional team of Lakebase Sales Specialists to drive revenue, pipeline, and adoption of Databricks Lakebase. Recruit and coach specialists, partner with account teams and regional leadership, execute developer/platform GTM motions, run architecture workshops, engage C-level platform leaders, and provide field feedback to Product and GTM to scale application modernization and real-time operational workloads.

Lead design and delivery of production-grade ML and GenAI solutions on the Databricks platform. Architect end-to-end ML pipelines, optimize training/inference, implement MLOps/LLMOps, build MVPs for sales, influence product roadmap, mentor peers, and present technical content externally.