About the role
(FEQ327R60)
About the Role
At Databricks, we are looking for a Solutions Architect to join our Benelux Hunter Pre-sales team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data & AI platform on greenfield and developing accounts. You aren't just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions.
This is the perfect role for you if you are someone who thrives in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful.
The Impact You Will Have
- 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.
What We Look For
*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*
- 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.
#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 Facebook.
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.
Aplyr's read
Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
What's promising
- •Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
- •The company is a leader in big data and AI, driving significant industry advancements.
- •Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.
What to watch
- •High competition in cloud data analytics could impact market share.
- •Rapid scaling may strain internal resources and affect company culture.
- •Dependence on cloud infrastructure partners presents potential operational risks.
Why Databricks
- •Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
- •Focus on AI efficiency and optimization differentiates its research initiatives.
- •Collaborative workspace design fosters innovation across diverse data teams.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Databricks
Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.
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