Senior Solutions Engineer - Benelux Geo
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.
About the job
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.
Skills
Python, SQL, AWS, Azure, GCP, Spark, Delta Lake, Hadoop, Kafka, Flink, Etl/Elt, MLOps, Whiteboarding, Solutions Architecture
Similar jobs
Sales Engineering jobsLeads technical strategy and pre-sales architecture for strategic Benelux customers, designing production-grade data and AI solutions and driving platform adoption. Requires 6+ years of relevant experience, strong Python and SQL skills, cloud deployment expertise, and excellent stakeholder communication.
Senior Sales Engineer supporting technical evaluations, demos, implementations, and post-sales customer success for a developer-tools SaaS platform. Requires 5+ years in sales or solutions engineering, strong coding ability, and experience engaging engineering teams.
Senior solution engineer partnering with sales teams and customers to demonstrate Snowflake, lead proofs of concept, navigate complex enterprise sales cycles, and connect business needs with data architectures. Requires substantial pre-sales experience, cloud AI solution delivery, and strong SQL and Python expertise.
Leads technical discovery, demonstrations, proofs of concept, and value-based solutioning for enterprise customers in partnership with sales teams. Requires substantial pre-sales experience, strong SQL and Python skills, and expertise in databases, data warehousing, analytics, ETL, and cloud technologies.
Provides technical expertise for enterprise sales through presentations, product demonstrations, customer evaluations, and technical opportunity closure. Requires strong communication skills, programming or scripting experience, and at least three years in sales engineering or DevOps engineering.