Asks for

The ad says“Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”
The ad says“Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”
The ad says“Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)”
The ad says“Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)”
The ad says“Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”
The ad says“Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)”
The ad says“Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage”
The ad says“Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”
The ad says“Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics”

Req ID: FEQ427R70

The Role

As a Senior Solutions Engineer in the Benelux Geo team, you will lead technical engagements for high-growth potential customers, owning discovery, solution design, and platform demonstrations. We are looking for a talented engineer/architect who is excited to expand strategic partnerships and grow Databricks footprint with these customers!

You are a builder who can code, architect, and present, combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

Independently lead technical discovery and solution design for customer workloads spanning Data Engineering, Analytics, Machine Learning, and GenAI Engineering
Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
Own frontline technical relationships with customer engineers, data teams, and technical leads
Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

Industry experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role (preference for 3+ years minimum)
Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage
Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
Strong presentation and demo skills — you will build and present a live solution during the interview
Bachelor's or Master's degree in Computer Science, Engineering, Information Management, Data Science or a quantitative discipline (or equivalent experience)

Note: This will be an office-based contract (Amsterdam), with a hybrid schedule. The offer contract will be set for an initial 12-month fixed term, with the intention to extend upon successful completion of the probation period.

#LI-hybrid

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.