Databricks предлагает четко очерченную senior-роль в сильной продуктовой компании в сфере Data и AI, с практической архитектурной работой с клиентами и понятными требованиями; обязательный опыт pre-sales и немецкий язык сужают круг тех, кому подойдет позиция.
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Нужен немецкийОпыт в pre-salesСовременные технологииСильная AI-компания
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect - Digital Natives and Startups (Data & AI): Designing and demonstrating Databricks Data Intelligence Platform solutions for digital-native and startup customers with an accent on technical sales, complex proof-of-concepts, and cloud ecosystem integrations. Focus on discovering use cases, building reference architectures, and solving complex data challenges across different technical audiences.
Location: Berlin or Munich, Germany, or within a commutable distance for a hybrid schedule
Company
Databricks is a Data and AI company providing a unified Data + AI Platform for data science, analytics, applications, and agents.
What you will do
Build client relationships and provide technical and business value in collaboration with Account Executives.
Lead hands-on evaluations, programming, proofs-of-concept, and integrations with cloud ecosystems and third-party applications.
Advise customers on architecture, design, implementation, and adoption of the Databricks Data Intelligence Platform.
Create reference architectures, how-to materials, and demo applications.
Contribute to technical workshops, seminars, meet-ups, and the wider Databricks technical community.
Develop expertise as a technical and/or industry specialist.
Requirements
Fluency in German and English is required.
Pre-sales experience is mandatory.
At least 7 years of experience in pre-sales, solution consulting, or related customer-facing technical roles.
Experience engaging customers in technical sales, challenging questions, guiding outcomes, and communicating technical and value propositions.
Structured approach to guiding customers and ability to build customer relationships and internal partnerships with Account Executives and other teams.
Prior coding experience in a core programming language such as Python, SQL, or Java, plus willingness to learn a base level of Spark.
Hands-on proficiency with Big Data Analytics technologies and complex proofs-of-concept on public cloud platforms.
Experience discovering use cases, scoping requirements, and delivering complex solution architecture designs to audiences with different levels of technical depth.
Culture & Benefits
Customer-focused, collaborative environment emphasizing proactiveness, innovation, creativity, and continuous improvement.
Comprehensive benefits and perks, with details varying by region.
Inclusive hiring practices and commitment to diversity and equal employment opportunity.
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