Manager, Field Engineering

FEQ227R207 As a Field Engineering Manager, you will lead a talented team of technical pre-sales Solutions Architects and Solutions Engineers based in France. You’ll play a key leadership role at the intersection of technology and business, helping our teams design value-based solutions and drive growth through effective collaboration with Sales.

You’ll coach your team to communicate complex ideas clearly, support strategic sales cycles, and build strong partnerships with customers and stakeholders across large organisations. The impact you will have: Lead, mentor, and develop a high-performing pre-sales team in France. Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity.

Partner with Sales to drive growth through solution- and value-based selling. Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact. Build trusted relationships with customer executives and strategic partners. Collaborate across teams—including Marketing, Sales, and Services—to ensure seamless implementation and customer success.

Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in the market.

What We Look For

Proven experience managing technical teams in Big Data, Cloud, or SaaS environments. A track record of leading, mentoring, and scaling pre-sales or technical field organisations. Understanding of consumption-based business models. Ability to collaborate effectively with Sales and other cross-functional leaders. Strong communication and interpersonal skills—fluent in English and native-level French.

Technical background in Data Engineering, Databases, or Data Science (consulting experience is a plus). Passion for data, AI, and cloud technologies and the ability to articulate their business value clearly. Note: Location for the role is in Paris (i.e. within commutable distance). #LI-hybridAbout 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. BenefitsAt 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.

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks...