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Pre-sales Engineer

Databricks
Francefull_timeVerifiedPosted 28 Mar 2023

About the role

<p>As a Solutions Architect, you will guide the technical evaluation phase of the sales process for customers in France. You will be an essential technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Unified Data Analytics Platform, helping data teams complete projects in production and integrating our platform in their enterprise Ecosystem. Your work will help our customers solve real-world problems, such as renewable energy and even developing the next generation of medicine. You will report to the Field Engineering Manager in France.</p> <p><strong>The impact you will have:</strong></p> <ul> <li>As an expert in the sphere of big data analytics, you will be seen as an expert on issues of architecture, design and implementation</li> <li>Lead your prospects through evaluating and adopting Databricks</li> <li>Support your customers by authoring reference architectures, how-tos, and demo applications</li> <li>Integrate Databricks with 3rd-party applications to support customer architectures</li> <li>Engage with the technical community by leading workshops, seminars and meet-ups</li> <li>Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical value</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>Explain technical concepts, including presenting and white-boarding</li> <li>3+ years in customer facing experience to make them successful</li> <li>Design architectures within a public cloud (AWS, Azure, or GCP)</li> <li>Experience with big data technologies such as Apache Spark</li> <li>Comfortable writing code in either Python, Scala, or Java</li> <li>Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science advantageous</li> <li>Nice to have: Databricks Certification</li> </ul> <p><strong>Benefits</strong></p> <ul> <li>Complementary health insurance</li> <li>Complementary life and disability coverage</li> <li>Complementary pension</li> <li>Equity awards</li> <li>Paid parental leave</li> <li>Gym reimbursement</li> <li>Annual personal development fund</li> <li>Work headphones reimbursement</li> <li>Business travel accident insurance</li> </ul><p><strong>About Databricks</strong></p> <p>Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&amp;M and over 50% 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. To learn more, follow Databricks on <a href="https://twitter.com/databricks" target="_blank">Twitter</a>, <a href="https://www.linkedin.com/company/databricks" target="_blank">LinkedIn</a> and <a href="https://www.facebook.com/databricksinc" target="_blank">Facebook</a>.</p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>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.</p> <p> </p> <p><strong>Compliance</strong></p> <p><strong>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.</strong></p>

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