Senior Solutions Engineer (Hunter team - IMEA scope)

(FEQ426R57)

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 'Hunter' 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

• Create impactful and successful relationships with customer accounts in the IMEA region; providing technical and business value to Databricks customers in collaboration with the extended team.
• 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 in the IMEA region; experience working directly in a pre-sales capacity with customers will be highly advantageous for the role.
• Strong ability in creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• 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 hybrid schedule).
• You will need to be flexible and willing to travel on a regular basis (i.e. ~1 week per month in the IMEA region).
• Business proficiency in both French and English required as a minimum. Business/Native-level proficiency in Arabic will be advantageous for the role.

#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 onTwitter,LinkedInand

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.