Senior Solutions Architect - Life Sciences (Pre-Sales)

Databricks Inc.; Amsterdam; Hybrid; EUR 120,000 - 160,000; Full time

Job summary

Databricks is seeking a Senior Solutions Architect (Pre-sales) for the Life Sciences sector in Amsterdam, Netherlands. You will drive the technical and consumption strategy across multinational accounts, partnering with regional account executives and the global account team.

You will lead complex architecture engagements, mentor engineers, and shape data/AI strategies with executives and technical champions. The role requires 8+ years of global pre-sales and deep data engineering knowledge.

Qualifications

• 8+ years of global, cross-region pre-sales and solutions architecture experience.
• Strong hands-on background in Python, SQL, Spark/PySpark and data platforms.
• Expertise in enterprise data architectures, real-time systems, lakehouse design patterns, cloud-native platforms.
• Executive presence and value-based selling skills, with proven revenue impact.

Responsibilities

• Drive technical and consumption strategy for complex Life Sciences engagements.
• Own senior-level technical relationships and serve as trusted advisor.
• Lead multi-workload architecture engagements and migrations, including GenAI and AI workflows.
• Mentor junior engineers and contribute to field engineering thought leadership.

Skills

Python

SQL

Spark/PySpark

Solutions architecture

Pre-sales leadership

Executive presence

Strategic thinking

Data governance

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

Tools

Databricks Platform

GenAI workflows

LLMOps

Job description

Databricks is seeking a Senior Solutions Architect (Pre-sales) for the Life Sciences sector in Amsterdam, Netherlands. You will drive the technical and consumption strategy across multinational accounts, partnering with regional account executives and the global account team.

You will lead complex architecture engagements, mentor engineers, and shape data/AI strategies with executives and technical champions. The role requires 8+ years of global pre-sales and deep data engineering knowledge.