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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 Architect for the newly formed Geo team, you will play a leading role in significantly impacting the Enterprise Greenfield territory across accounts and industries in the region!
You will use your technical expertise and work with a collaborative, customer-focused team that values innovation and creativity to create customized solutions to help demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges to 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:
- 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.
- Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
- Contribute to the development of industry-specific and technology-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.
- Strong expertise in Data Warehousing and Data Engineering architecture and implementation.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and high-level understanding of the Apache Spark™ framework architecture.
- Experience managing and leading complex accounts, involving multi-threaded use cases
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. Additional languages (i.e. Spanish, Italian) would 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 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.
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
