Senior Solutions Engineer (Manufacturing)

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At Databricks, our core values 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 who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

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, working with Account Executives and Solutions Architects to provide technical and business value.
• Gain excitement from clients about Databricks through hands-on evaluation, integrating with the wider cloud ecosystem and 3rd party applications.
• Help build the Databricks technical 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.
• Passion for delivering technical propositions, identifying customers’ pain-points and explaining important areas for business value to develop a trusted advisor skillset.
• Expertise in Product sectors (particularly clients in the Manufacturing sector) will be preferable but not mandatory.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced Data Engineering and/or Data science use cases.
• Experience diving deeper into solution architecture and expertise with at least one major public cloud platform.
• Code in a core programming language such as Python, SQL, Java, or Scala.
• A foundational understanding of Apache Spark architecture is preferable, hands-on skills will be advantageous for the role.

Notes on mandatory requirements:

• Location for the role must be in Paris (or within a commutable distance for hybrid schedule).
• Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings).
• Business proficiency in both French and English required as a minimum. Fluency in additional regional languages may be advantageous.

Benefits

• Private medical insurance
• Private life and disability coverage
• Pension Plan
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

#LI-hybrid

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.