Senior Solutions Architect - Digital NativesActive

Databricks
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The opportunity

At Databricks, our core values are at the heart of everything we do; a culture of proactivity and a customer-centric mindset guide us in creating a unified platform that makes Data Engineering, Data Science, Analytics & GenAI accessible to everyone. We aim to inspire our…

What you'll do

  • Drive the technical and consumption strategy in partnership with Account: Executives for Startup & Digital Native customers in the Nordics region, directly influencing platform adoption and revenue growth.

  • You will influence stakeholders at all levels through complex engagements: with the broader 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: architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence platform.

  • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.

  • Contribute to Field Engineering thought leadership through customer-facing: content, workshops, and community engagement

  • Coach junior Solutions Architects and teams on use-case prioritisation and on building technical champions.

What they're looking for

  • + years in solutions architecture, principal engineering, technical pre-sales: leadership, or a senior customer-facing technical role
  • A strong "AI-Builder" mindset; Expert-level coding proficiency: Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview process.
  • Proven track record of driving consumption growth and platform adoption with: customers. Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role.
  • Strong technical architecture skills with deep expertise in enterprise data: technologies: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms