Stellenbeschreibung:

Overview

Databricks is the data and AI company. Our core values guide us to create a culture of proactiveness and a customer-centric mindset to deliver a unified platform that makes data science and analytics accessible to everyone. We aim to help customers turn insights into action and foster creativity, experimentation, and continuous improvement. You will be measured by your impact and contributions to initiatives such as leading SME teams and delivering regular presentations at conferences and industry events. You will work with a collaborative, customer-focused team that uses your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

The Impact You Will Have

• Lead and manage complex enterprise customer accounts with custom requirements and exceptional care.
• Deliver compelling demos and pitches to budget holders.
• Be a role model within Field Engineering, be recognized as a leader, and exemplify Databricks\' core principles.
• Collaborate with Field Engineering leaders to mentor and develop Solutions Architects and Senior SAs.
• Contribute to Databricks\' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Work across the region to develop and implement best practices and efficient processes.
• Develop your internal network within Databricks to establish close relationships with key stakeholders as SME, products and leaders.

What We Look For

• Experienced in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to drive technical and business conversations with C-level executives of financial institutions to develop relationships, orchestrate teams and influence outcomes to achieve long-term customer success.
• Skilled in identifying and prioritising key use cases, resource allocations, and investment focus.
• Strong experience in the Data landscape, with a proven track-record of successful engagements in at least one Data Engineering or Data Science discipline.
• Prior experience with coding in a core programming language (e.g., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

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

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.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development

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