Latest AI JobsBrowse Jobs
Databricks logo

Senior Solutions Architect (Pre-sales) - Life Sciences

DatabricksAmsterdam, NetherlandsField Engineering - Other
Apply on company site
Salary
Not listed
Job type
Full-time
Experience
Senior · 8+ yrs
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

This position suits an experienced technical pre-sales professional with a background in life sciences who wants to drive data and AI adoption for a major account in Amsterdam, Netherlands. Databricks is hiring a Senior Solutions Architect to lead technical and consumption strategies for a key life science company within the Benelux team.

Role Overview

The Senior Solutions Architect position involves owning senior-level technical relationships and guiding technical strategy for large, complex enterprise accounts. The role operates within a hybrid work environment based in Amsterdam, partnering with regional account executives and global teams to drive platform adoption, revenue growth, and enterprise-grade data and AI solutions.

Key Responsibilities

Direct the technical and consumption strategy for complex customer engagements to influence platform adoption and revenue growth.
Act as a trusted advisor on enterprise data and AI strategy by owning senior-level technical relationships with Directors, VPs, and C-level stakeholders.
Lead complex architecture engagements covering multi-workload platforms, enterprise-wide migrations, real-time systems, and large-scale AI and ML workflows including GenAI and agentic AI.
Position Databricks against incumbent and emerging platforms by developing and executing competitive strategies.
Coordinate cross-functional teams including delivery specialists, partners, and product groups to deliver enterprise solutions.
Mentor junior engineers and architects on technical depth, customer engagement, and use case prioritisation while contributing to field engineering thought leadership.

Requirements

Minimum of 8 years of experience in a global or cross-region multi-architect account team combining solutions architecture, principal engineering, and technical pre-sales leadership.
Hands-on coding proficiency in Python, SQL, and ideally Spark or PySpark, along with participation in a live coding assessment and prototype build during the interview process.
Deep expertise in enterprise data architecture such as distributed systems at scale, streaming and real-time architectures, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
Expert-level knowledge of data platforms, demonstrated through either Databricks or a comparable modern data and AI platform.
Bachelor's or Master's degree in Computer Science, Engineering, a quantitative discipline, or equivalent professional experience.

Nice to Have

Databricks certifications.
Previous employment at Databricks, Snowflake, AWS, Google, Microsoft, or another top-tier data and AI company, preferably with focus in Healthcare and Life Sciences or the pharmaceutical vertical.
Published thought leadership material such as blogs, conference talks, or open-source contributions.
Life Sciences industry vertical expertise with executive-level domain credibility, including GxP experience in pharma settings.

Skills and Tools

Python
SQL
Spark
PySpark
GenAI
LLMOps
Agent Bricks
AI Functions
Unity Catalog
Lakeflow
Lakehouse

About the Company

Databricks operates as a data and AI company providing a unified platform utilized by over 20,000 organizations globally, including prominent brands and Fortune 500 companies. The organization maintains headquarters in San Francisco alongside more than 30 offices worldwide, offering technologies that support data applications, analytics, and agents.

How to Apply

Interested candidates should review the requirements and submit an application directly on the official Databricks careers page.

Skills and tech stack

PythonSQLSparkPySparkGenAILLMOpsAgent BricksAI FunctionsUnity CatalogLakeflowLakehouseGenieLakebaseAWSDistributed Systems

Questions candidates ask

Where is the Senior Solutions Architect role located?

The position is based in Amsterdam, Netherlands, operating on a hybrid schedule.

What technical skills are required for this position?

Candidates must have hands-on coding proficiency in Python, SQL, and ideally Spark or PySpark, alongside deep expertise in enterprise data architecture, distributed systems, real-time streaming, and data governance.

How many years of experience are needed to apply?

Applicants must have 8 or more years of experience in a global, cross-region account team combining solutions architecture, principal engineering, and customer-facing technical pre-sales leadership.

What educational background is required?

A Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline is required, or equivalent professional experience.

What is the interview process expected to include?

The evaluation process includes a live coding assessment and a platform or prototype build.

Ready to apply?

The application is on the official Databricks careers page.

Apply on company site