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Pre-sales Solutions Architect - Energy

Amsterdam, Netherlands💼 Full-time🗓 2026-06-19 → 2026-07-31

Core

Pre-sales Solutions Architect leading technical strategy and advisory for Energy sector accounts in the Benelux region, guiding customers on Data Intelligence Platform adoption.

Role type

Senior Pre-sales Solutions Architect (Energy)

Builds

Customized data and AI solutions for Energy customers using the Databricks Data Intelligence Platform

Domain

Energy / Manufacturing / Data & AI

Deliverable

production ML models | product features

Required skills

Technical pre-sales lifecycle management, complex solution architecture design, executive advisory, use case discovery, cloud platform expertise, coding in Python/SQL, Apache Spark knowledge, AI-assisted coding

Preferred skills

Industry domain experience in Manufacturing, prior engagement with Energy domain customers, cloud certifications

Technologies

Databricks, AWS, Microsoft, GCP, Apache Spark, Python, SQL

Responsibilities

Lead technical strategy for Energy sector accounts, act as trusted advisor to senior leaders, abstract learnings into reusable patterns, drive adoption from proof of concept to measurable outcomes, coach junior team members

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Technical Strategy & Leadership: Lead the technical strategy for Energy sector 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 through 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 junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity. ## Requirements - Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset 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. - Industry domain experience in the Manufacturing sector, prior engagement with customers in the Energy domain will be advantageous for the role. - 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, GCP, or other relevant platforms) and 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 be looking to assess your skills with 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. - Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges. - Excellent communication skills in English required as a minimum. ## Nice to Have - Prior engagement with customers in the Energy domain. - Certifications in cloud platforms. - Experience with AI-assisted coding and tooling. ## Benefits - This will be an office-based contract (Amsterdam), with a hybrid schedule. - An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period. #LI-hybrid ## 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 YouTube.
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