A remote role at Databricks.
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Original listing text, shown exactly as published by the company.
FEQ327R298
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers 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!
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Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
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Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
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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.
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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.
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Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
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Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
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Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
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Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
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Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
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Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
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Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range$219,100—$301,300 USDZone 2 Pay Range$219,100—$301,300 USDZone 3 Pay Range$219,100—$301,300 USDZone 4 Pay Range$219,100—$301,300 USD
Databricks
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Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark at the University of California, Berkeley. It offers a cloud-based platform for data analytics and artificial intelligence. It operates natively across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The platform includes an open data marketplace built on the Delta Sharing protocol, and functions as a managed AI infrastructure provider by providing proprietary foundation models—including those from OpenAI, Anthropic, and Google Gemini—directly within its secure perimeter.
Source: Wikipedia
