Pre-sales Solutions Architect - Energy

FEQ226R42

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect in the Benelux Field Engineering organisation, specifically the Manufacturing Named Accounts team for the Energy sector, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused pre-sales team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• 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.

What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!)

• 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.

Notes on the role:

• 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