Solutions Architect (Pre-sales) - Benelux Strategic Accounts
At a glance
Mid-level Solutions & Sales Engineering role at Databricks. Amsterdam.
Pay not stated
Growth Roles summary, based on the employer's posting.
What you'll do
- Set the technical direction for customer accounts from discovery through deployment and increased platform usage
- Design production-ready architectures across data engineering, ML/AI, streaming, and real-time analytics
- Guide customer architects, engineering leads, and directors through designs, reviews, and technical trade-offs
- Build tailored solutions that prove Databricks’ advantages in competitive evaluations
- Coordinate delivery, specialist, and partner architects while feeding customer and competitor insights into product direction
What you bring
- At least six years across solutions architecture, data engineering, technical pre-sales, or senior hands-on technical work
- Strong Python and SQL skills, including live coding, debugging, and building solutions during evaluations
- Deep knowledge of distributed data systems, scalable pipelines, streaming, lakehouse patterns, and cloud-native platforms
- Hands-on Databricks capability or the demonstrated ability to become proficient quickly, plus a developing domain specialisation
- A computer science, engineering, or quantitative degree, or equivalent experience, alongside public-cloud production deployment experience
Who this fits
You’ll suit a senior customer-facing technical role that combines architecture leadership, pre-sales, coding, and strategic advising. The position is office-based in Amsterdam with a hybrid schedule and begins as a fixed-term contract intended for extension after successful probation. You’ll work with customer technical leaders and coordinate delivery, specialist, and partner architects.
From the employer
The Role
As a Solutions Architect in the Benelux Strategic Accounts team, you will play a lead role in driving the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy with customer accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (Delivery, Specialist & Partner Solution Architects) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, data engineering, technical pre-sales and/or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Haves
- Experience in Oil & Gas and/or Manufacturing industry domains will be beneficial
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
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.
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.
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