Senior Solutions Engineer (Growth)

About the Role

As a Senior Solutions Engineer at Databricks, you will be pivotal in demonstrating how our Data Intelligence Platform can assist customers in solving complex data challenges. You will be part of a collaborative, customer-focused team that values innovation and creativity. Your role will involve creating customized solutions to help our customers achieve their goals and guide their businesses forward.

Responsibilities

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with Account Executives and Solutions Architects.
• Gain excitement from clients about Databricks through hands-on evaluation and 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.

Requirements

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

What We Look For

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Skillset to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop into a trusted advisor.
• Experience diving deeper into solution architecture and design.
• 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.
• Ability to code in a core programming language such as Python, Java, or Scala.
• Knowledge of Apache Spark™ architecture and expertise in Spark programming highly advantageous.

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.

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.