Solutions Architect
Application analysis
Solutions Architect at Databricks is a forward deployed data & ai platform role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Solutions / Sales Engineering role centers on technical discovery, demos, POCs, and helping buyers build internal consensus. Key signals from the listing: Python, Government / DoD context, Senior scope.
About Databricks
Databricks sells a unified data platform to enterprises. Forward deployed engineers help customers migrate workloads and prove value on live data. The role is anchored in Denmark, so expect on-site customer work in that region.
Signals in the listing
Stand out for Solutions Architect
- Lead your application with one paragraph tying Solutions Architect to a specific customer or deployment you owned — Databricks hires for shipped outcomes, not tool lists.
- Bring a tight demo narrative: customer pain, live workflow, and measurable before/after — treat the interview like a compressed POC.
- Show how you qualify opportunities and say no to bad-fit pilots; Databricks values technical judgment in customer-facing roles.
- State clearance status clearly up front (active, expired, or eligible) and mention any prior NIPR/SIPR, IL5, or government cloud accreditation work — recruiters filter on this early.
- The posting mentions multiple languages — pick the one most relevant to this team and show production code, not tutorial exercises.
- This role is tied to Denmark — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Databricks
- Demonstrate Spark/SQL fluency with a concrete example — Databricks will probe for specifics, not buzzwords.
- Demonstrate enterprise stakeholder management with a concrete example — Databricks will probe for specifics, not buzzwords.
- Strong candidates show they can whiteboard a lakehouse migration and then actually implement the first milestone.
- Read recent engineering blog posts, product launches, and customer stories on databricks.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
Req# Feq227r44
- Solutions Architect – Data & AI (Presales)
Please note that this role requires you to be based in Denmark. At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions.
What you’ll do
Partner with Account Executives to drive technical sales cycles and customer outcomes Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders Build and deliver proof-of-concepts, demos, and solution prototypes using real data
Translate business
requirements into practical, scalable data and AI solutions
Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end Work through technical challenges with customers, iterating and resolving issues as they arise Contribute reusable assets, patterns, and best practices that accelerate adoption across customers
What we’re looking for
Customer-facing mindset
Experience working with customers in a presales, consulting, or advisory capacity Ability to communicate complex topics to both technical and non-technical audiences Comfortable leading discussions that connect business goals to technical decisions Hands-on technical foundation Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets Understanding of data pipelines and modern data architectures Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting) Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected Data & AI understanding Familiarity with analytics, data science, or machine learning workflows Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference) Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems Architecture & platform understanding Familiarity with cloud platforms and data technologies Ability to design solutions that consider scalability, performance, reliability, and data volumes Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints
What makes you successful in this role
You are comfortable switching between business dialogue and technical execution You don’t just describe solutions — you can build, validate, and iterate on them in practice You take ownership of technical challenges and push problems forward, even when things are not working as expected You apply structured thinking in discovery and can connect
requirements to scalable technical solutions
You understand that AI solutions depend on solid data foundations You are curious and continuously deepen your technical expertise
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.