Senior Enterprise Data & AI Architect - Life Sciences

Databricks; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Databricks in the Benelux region seeks a Senior Solutions Architect to drive the technical and consumption strategy for Life Science accounts, shaping platform adoption and revenue growth across multinational teams.

You will lead complex architecture engagements, mentor junior engineers, and coordinate cross-functional delivery with Partners, Product, and field teams to deliver enterprise‑grade data and AI solutions at scale.

Qualifications

• 8+ years in global/cross-region, multi-architect accounts
• Strong hands-on technical background with coding proficiency in Python and SQL
• Deep expertise in enterprise data architecture and cloud-native platforms
• Executive presence and proven value-based selling with c-level stakeholders
• Experience leading complex architecture engagements and multi-workload migrations

Responsibilities

• Drive technical and consumption strategy for the organization’s most complex customer engagements
• Own senior-level technical relationships as trusted advisor on data and AI strategy
• Lead complex architecture engagements (multi-workload platforms, real-time systems, AI/ML at scale)
• Mentor juniors and drive horizontal impact across the team
• Coordinate cross-functional delivery with Partners, Product, and field teams
• Develop competitive strategies and support thought leadership with customer content and workshops

Skills

Python

SQL

Spark/PySpark

Executive presence

Strategic thinking

Data architecture

Databricks platform knowledge

Education

Bachelor’s or Master’s degree in CS/Engineering or quantitative discipline

Tools

Databricks Platform

Job description

Databricks in the Benelux region seeks a Senior Solutions Architect to drive the technical and consumption strategy for Life Science accounts, shaping platform adoption and revenue growth across multinational teams.

You will lead complex architecture engagements, mentor junior engineers, and coordinate cross-functional delivery with Partners, Product, and field teams to deliver enterprise‑grade data and AI solutions at scale.