Description de l'emploi - Senior Solutions Engineer (Pre-Sales)
(FEQ426R272)
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.
As a Senior Solutions Engineer in the SEMEA Field Engineering team, you will use your technical expertise to demonstrate how our Data Intelligence Platform can help customers across the region 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.
In this role, you will have the opportunity to significantly impact the ramping of key accounts in the territory!
Join us in our quest to change how people work with data and make a better world!
The impact you will have:
Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and Solutions Architect.
Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
Become a Big Data Analytics advisor on aspects of architecture and design.
Support your customers by authoring reference architectures, how-tos, and demo applications.
Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.
What we look for:
Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
Experience working directly in a pre-sales capacity with customers will be advantageous for the role.
Ability to independently deliver a technical proposition, identify customers' pain points, and explain important areas for business value to develop a trusted advisor skillset.
Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
Expertise in Data Warehousing and Data Engineering with experience diving deeper into solution architecture and design.
Coding skills in a core programming language such as Python, Java, or Scala. Experience with Apache Spark™ will be preferable but not mandatory, a willingness to learn quickly will be!
Notes on mandatory requirements:
Location for the role will be in Paris (or within a commutable distance for a hybrid schedule).
Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings).
Business proficiency in both French and English is required as a minimum. Additional regional languages could be advantageous for the role.
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