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Solutions Architect (Benelux Hunter Pre-sales)

Amsterdam, Netherlands💼 Full-time🗓 2026-06-26 → 2026-07-31

Core

Technical lead for strategic new engagements in the Benelux region, establishing Databricks as the main data & AI platform on greenfield and developing accounts.

Role type

Senior Solutions Architect (Hunter Pre-sales)

Builds

Data & AI platform solutions for greenfield and developing enterprise accounts

Domain

Data & AI, Cloud Platforms

Deliverable

production ML models | product features

Required skills

Complex solution architecture design, Data Engineering, Data Warehousing, GenAI, Cloud platforms (AWS, Azure, GCP), Python, SQL, Apache Spark, Executive stakeholder management, Technical strategy leadership

Preferred skills

Relevant cloud certifications, AI-assisted coding tooling

Technologies

Databricks, Apache Spark, Delta Lake, MLflow, AWS, Microsoft Azure, GCP

Responsibilities

Lead technical strategy for greenfield accounts, Act as trusted advisor to senior leaders during negotiations, Abstract learnings into reusable patterns, Drive adoption from proof of concept to measurable business outcomes, Coach and develop junior team members

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Technical Strategy & Leadership: Lead the technical strategy for greenfield and developing accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level. - Executive Advisory: Act as a trusted advisor to senior leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment. - Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface. - Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact. - Mentorship: Coach and develop junior members of the team on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity. ## Requirements - 8+ years of experience in technical and client-facing roles with strong skills in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth. - Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. - Experience with cloud platforms (e.g., Databricks, AWS, Microsoft Azure, GCP, or other relevant platforms) and relevant certifications will be advantageous. - Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also assess your skills in AI-assisted coding and tooling. - Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available. - Excellent communication and presentation skills in English required as a minimum. - This will be an office-based contract (Amsterdam), with a hybrid schedule. ## Nice to Have - None specified. ## Benefits - About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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