Senior Solutions Architect (Pre-sales) - Life Sciences

Databricks · Amsterdam, Netherlands · Field Engineering - Other · listed October 5, 2026

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The shape of it

Seniority
Principal
Experience asked
8+ years
Where
Hybrid
Requirements listed
8
Length
780 words

In the posting’s own words

We are looking for a creative, execution-oriented Senior Solutions Architect to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks in the Life Science industry. You will bring experience as an architect on large, complex, multinational accounts, and your mission will be to drive the technical and consumption strategy for one of the world's most notable life science companies. This will be driven in partnership with regional account executives and the global account team.

What it asks for · 8

  • 8+ years of experience in a global/cross-region, multi-architect account team, combining solutions architecture, principal engineering, technical pre-sales leadership in a customer-facing capacity.
  • Strong hands-on technical background and coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform/prototype build during the interview process.
  • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
  • Expert-level data platform knowledge (either in Databricks or a similar modern data & AI platform with demonstrated rapid learning ability).
  • Recognised as an expert in technical specialisation — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
  • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy; proven value-based selling and vision-generation skills; ability to lead competitive displacements and complex enterprise evaluations.
  • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact. Proven track record of driving consumption growth and platform adoption in large accounts.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued.

Also a plus

  • Databricks certifications.
  • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, ideally within Healthcare & Life Sciences (HCLS)/Pharma vertical.
  • Published thought leadership (blogs, conference talks, open source contributions).
  • Life Sciences industry vertical expertise with executive-level domain credibility, ideally GxP experience in a pharma setting.

What the job covers

  • Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth.
  • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy.
  • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, including GenAI and agentic AI workflows (Agent Bricks, AI Functions, LLMOps).
  • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team.
  • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms.
  • Orchestrate cross-functional teams (Delivery & Specialist SAs, Partners, Product) to deliver enterprise-grade solutions.
  • Coach and develop junior engineers/architects on technical depth, customer engagement, and use case prioritisation.
  • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

Degree language

  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued.

Tools and skills named

Data
  • Databricks7×
  • Spark2×
  • Data warehouse
  • Snowflake
Go to market
  • Solutions architecture3×
Models & research
  • Machine learning2×
  • Evaluations
Cloud & infra
  • AWS
  • Distributed systems
Languages
  • Python
  • SQL
Ways of working
  • Cross-functional
  • Mentorship

Words the posting leans on

  • technical10×
  • platform9×
  • data8×
  • account6×
  • architecture5×
  • experience5×
  • science5×
  • solutions5×
  • strategy5×
  • complex4×
  • engagement4×
  • life4×
  • customer3×
  • engineering3×
  • executives3×
  • ideally3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched October 5, 2026 and last changed by Databricks on October 5, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.