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Senior Solutions Architect (Pre-sales) - Life Sciences

Databricks
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Hybrid (Amsterdam)full-timePosted 2w ago

About the role

Senior Solutions Architect to join the Benelux team for Databricks in the Life Science industry, driving technical and consumption strategy for large multinational accounts and partnering with regional and global account teams.

Responsibilities

  • 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.

Qualifications

  • 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. Live coding assessment and platform/prototype build during interview.
  • 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 (Databricks or similar modern data & AI platform).
  • 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; value-based selling and vision-generation; ability to lead competitive displacements and complex enterprise evaluations.
  • Strong strategic thinking — aligning technical decisions with business outcomes and revenue impact; proven track record of driving consumption growth.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent); advanced degrees valued.

Skills

Required:Solutions architecturePythonSQLEnterprise data architectureExecutive presence
Nice to have:Spark / PySpark

Benefits

  • Benefits details available regionally via link in job description.
Last updated Oct 8, 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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