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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 will report to a Field Engineering Manager and work with a collaborative, customer-focused team that values innovation and creativity.

You will use your skills to create customized 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:

Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. Coach junior Solutions Architects and teams on use case prioritization and building technical champions. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. Contribute to the development of industry-specific use cases, ROI models, and solution architectures as well as Databricks' technical community engagement by developing customer-facing collateral; leading workshops, seminars, and meet-ups.

What we look for:

10+ years experience engaging in customer interactions for technical pre-sales and complex sales lifecycles. Ability to provide technical solutions for specialized customer needs, navigate a competitive landscape and influence C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. Hands-on expertise with complex Big Data architecture design and public cloud platform(s) solutions. Familiarity with IoT technologies, sensor data, and industrial control systems Strong understanding of manufacturing processes, production systems, and supply chain operations; abreast of Industry 4.0 trends, emerging technologies, and competitive offerings in the manufacturing analytics space Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and high-level understanding of Spark framework architecture will be advantageous.

Notes on mandatory requirements:

Location for the role will 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. 

#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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

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.