Senior Solutions Architect

Databricks Databricks · Data AI · Stockholm, Sweden · Field Engineering - Other

Senior Solutions Architect at Databricks, focusing on establishing the Databricks Data & AI platform for strategic new engagements in the Nordics. The role involves technical strategy, executive advisory, driving adoption, and mentorship, with a strong emphasis on data engineering, data warehousing, and GenAI expertise.

What you'd actually do

  1. Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level.
  2. Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment.
  3. Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.
  4. Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.
  5. Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity.

Skills

Required

  • 8+ years of experience in technical and client-facing roles.
  • Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI.
  • Strong "AI-Builder" mindset.
  • Proven ability to influence senior executives and drive alignment.
  • Experienced architect capable of leading technical discussions and solving high-complexity architectural challenges.
  • Ability to execute through ambiguity and identify emerging risks.
  • Excellent communication skills suited for top-tier customer interactions.
  • Based in Sweden or Denmark.

Nice to have

  • Pre-sales experience

What the JD emphasized

  • Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset.
  • Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals.
  • Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.
  • Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available.

Other signals

  • customer-facing technical leadership
  • strategic advisor for data & AI platform adoption
  • driving measurable business outcomes with AI solutions