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Senior Solutions Architect - Digital Natives

Databricks· Emerging Enterprises
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Hybrid (Nordics)full-timePosted 5d ago

About the role

Senior Solutions Architect responsible for the organization’s most complex customer engagements, driving consumption strategy, owning executive-level relationships, and serving as the definitive technical authority for accounts in the Nordics (Startup & Digital Native customers).

Responsibilities

  • 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.
  • 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.

Qualifications

  • 8+ 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
  • Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms with demonstrated rapid learning ability)
  • Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
  • Executive presence and strong strategic thinking - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy - connecting technical architecture decisions to business outcomes and revenue impact
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued

Skills

Required:Solutions architecturePythonSQLCloud platformsExecutive engagement
Nice to have:Spark/PySpark

Benefits

  • For specific details on the benefits offered in your region click here.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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