About the job
REQ# FEQ127R3
At Databricks, our guiding principles shape our daily operations as we foster a proactive and customer-centric culture. Our goal is to create a unified platform that democratizes data science and analytics, empowering every organization to make informed decisions that drive progress. We are committed to inspiring our customers with an intuitive platform that transforms insights into actionable outcomes, encouraging a spirit of creativity, experimentation, and ongoing enhancement. As a Senior Solutions Engineer, you will play a crucial role in this mission, leveraging your technical skills to showcase how our Data Intelligence Platform addresses complex data challenges for our clients. Collaborate with a dedicated, innovative team focused on delivering customized solutions that help our customers reach their objectives and propel their businesses forward. Join us in revolutionizing the way data is utilized to create a better world!
Your impact will include:
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Establishing strong relationships with clients in your designated territory to deliver both technical and business value in partnership with an Account Executive and a Senior Solutions Architect.
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Generating enthusiasm among clients for Databricks through hands-on evaluations and Spark programming, while integrating with the broader cloud ecosystem and third-party applications.
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Contributing to the growth of the Databricks technical community by participating in workshops, seminars, and meet-ups.
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Acting as an advisor in Big Data Analytics, focusing on architecture and design aspects.
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Supporting customers by creating reference architectures, how-tos, and demo applications.
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Advancing your technical expertise and pre-sales capabilities with the aim of becoming an independent Solutions Architect.
What we seek:
Proven ability to engage with clients, craft compelling narratives, address customer inquiries, align agendas with critical interests, and achieve measurable outcomes. Capability to independently deliver technical propositions, identify customer pain points, and articulate key areas of business value to cultivate trusted advisor relationships.-
Proficient in a core programming language such as Python or SQL.
