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Job
· Architect
Solutions Architect
Solution / Enterprise Architect
• Architect
• On-site
• Full-time
•
Milan, Italy
As a Databricks Solutions Architect for the Milan region, you'll use your technical expertise to help Italian customers solve complex data challenges and become a trusted advisor for adopting the Databricks Data Intelligence Platform.
Responsibilities
- ▹Form successful relationships with clients in Italy, providing technical and business value in collaboration with Account Executives
- ▹Operate as an expert in big data analytics to excite customers about Databricks
- ▹Develop into a trusted advisor on architecture, design, and implementation issues to drive successful adoption of the Databricks Data Intelligence Platform
- ▹Scale best practices by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community by leading workshops, seminars, and meet-ups
- ▹Grow knowledge and expertise to the level of a technical and/or industry specialist
Requirements
- ▹Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions
- ▹Develop customer relationships and build internal partnerships with account executives and teams
- ▹Prior experience coding in a core programming language (e.g. Python, Java, Scala) and willingness to learn a base level of Spark
- ▹Proficient with Big Data Analytics technologies, with hands-on expertise in complex proofs-of-concept and public cloud platforms
- ▹Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences at varying technical depth
- ▹Based in the Milan region (within commutable distance for a hybrid schedule)
- ▹Flexibility to travel
Soft skills
Relationship-building with customers and internal partnersAbility to context-switch across levels of technical depth for different audiencesPersuasive communication on technical and business topics
About the company
Databricks' core values are at the heart of everything it does, driving a culture of proactiveness and a customer-centric mindset to build a unified platform that makes data science and analytics accessible to everyone.
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