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Solutions Architect

Databricks · München | Deutschland · Onsite

Gehalt auf Anfrage

Gefunden am 03.06.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du technische Lösungen für Kunden, führst Workshops zu Data Engineering und Analytics durch, und wirst zum vertrauenswürdigen Berater für komplexe Datenherausforderungen. Job Zusammenfassung In dieser Rolle entwickelst du technische Lösungen für Kunden, führst Workshops zu Data Engineering und Analytics durch, und wirst zum vertrauenswürdigen Berater für komplexe Datenherausforderungen. Deine Rolle im Team At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive. This includes owning the (or parts thereof) technical relationship with clients from a pre-sales point of view. Become a trusted technical advisor to your customers in the domain of Data Engineering, Data Warehousing and/or Data Science. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. Unsere Erwartungen an dich Qualifikationen Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset. A proactive mindset who likes to work as a part of a larger account team and enjoys to independently take ownership of technical topics and relationships. Proficient with Big Data Analytics and/or Data Science technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). Full professional proficiency in German preferred and English required. Erfahrung Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn Spark. Experience in Financial Services and/or Insurances preferred. Unser Angebot At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Benefits Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst Cloud Computing AI Big Data Metadaten Level: Erfahren Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: München | Deutschland

Tech Stack

JavaPython

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.