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Senior Solutions EngineerDatabricks · Denmark
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Databricks

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Senior Solutions Engineer

🗓️ Posted 2026-08-18 Denmark Hybrid ICT
💰 Salary Not shared 📊 Market ₹450,000–₹850,000/mo

About the Company

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. Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe.

Responsibilities

  • ● Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
  • ● Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
  • ● Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
  • ● Become a Big Data Analytics advisor on aspects of architecture and design.
  • ● Support your customers by authoring reference architectures, how-tos, and demo applications.
  • ● Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

Requirements

  • ● Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
  • ● Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
  • ● Code in a core programming language such as Python or SQL.
  • ● Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
  • ● Experience diving deeper into solution architecture and Data Engineering.