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hace 3 meses
As a Senior Specialist Solutions Engineer (Data engineering), you will guide customers in building big data solutions on Databricks for a wide variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects. This role requires hands-on production experience with Apache Spark and expertise in other data technologies. Our Specialist team helps customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform.As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, peer delivering and internal training programs and establish yourself in an area of speciality - whether that be streaming, performance tuning, industry expertise, or more.Notes on mandatory requirements:Fluent in Spanish and English (Business-level proficiency minimum)Flexible to travel for customer meetings and internal events/training (up to 20-30%).Based in Madrid or within commutable distance for a hybrid schedule.The impact you will have:Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering complex pipelines.Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.Assist our customers with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures.Provide tutorials and training to improve community adoption (including hackathons and conference presentations).Contribute to the Databricks Community.Integrate Databricks with 3rd-party applications to support customer architectures.Together with account teams, you will form successful relationships with customers to deliver technical and business value.#J-18808-Ljbffr