# Senior Solutions Engineer - Benelux Geo

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Amsterdam, Netherlands
**Role:** Sales Engineering
**Experience:** 3+ years
**Skills:** Python, SQL, AWS, Azure, GCP, Spark, Delta Lake, Hadoop, Kafka, Flink, Etl/Elt, MLOps, Whiteboarding, Solutions Architecture
**Posted:** 2026-09-02

> Leads customer-facing technical discovery, solution architecture, proofs of concept, and platform demonstrations across data and AI workloads. Requires strong Python and SQL skills, public-cloud experience, distributed data systems knowledge, and at least three years in solutions architecture, technical pre-sales, data engineering, or consulting.

## Job Description

## Responsibilities
- Lead technical discovery and solution design for customer workloads across data engineering, analytics, machine learning, and generative AI engineering.
- Build and deliver proofs of concept and live demonstrations on the Databricks Platform.
- Own technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to expand platform usage and consumption.
- Articulate Databricks’ differentiation through hands-on demonstrations and competitive positioning.
- Create reusable technical assets, including notebooks, solution accelerators, and reference architectures.

## Requirements
- Industry experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting; 3+ years preferred.
- Proficiency in Python and SQL, including debugging, optimization, and production-quality coding.
- Hands-on experience designing and implementing data solutions on at least one public cloud platform: AWS, Azure, or Google Cloud.
- Working knowledge of distributed data systems such as Apache Spark and Delta Lake, or equivalent technologies including Hadoop, Kafka, or Flink.
- Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews.
- Familiarity with data engineering, ETL/ELT, medallion architecture, streaming, data science, machine learning, MLOps, or SQL analytics.
- Strong presentation and demonstration skills, including presenting a live solution during the interview.
- Bachelor’s or master’s degree in Computer Science, Engineering, Information Management, Data Science, a quantitative discipline, or equivalent experience.

## Compensation and Benefits
- Office-based role in Amsterdam with a hybrid schedule.
- Initial 12-month fixed-term contract, with an intention to extend after successful completion of the probation period.
- Region-specific benefits and perks are provided.

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