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Описание вакансии
Текст:
TL;DR
Solutions Architect - Benelux Fungible (Data & AI): Leading time-boxed customer engagements that move critical data, ML/AI, and real-time analytics workloads from evaluation to production with an accent on scalable architecture, cloud deployments, and technical decision-making. Focus on designing production-grade lakehouse solutions, demonstrating platform differentiation in competitive scenarios, and transitioning successful technical wins to core account teams.
Location: Amsterdam, Netherlands; office-based with a hybrid schedule
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Lead technical strategy for targeted engagements lasting approximately one to five months.
- Move strategic customer workloads from evaluation toward production-grade deployment and platform consumption.
- Design scalable solutions across data engineering, ML/AI, real-time analytics, cloud infrastructure, security, and governance.
- Lead whiteboarding sessions, design reviews, trade-off analysis, and architecture discussions with senior customer stakeholders.
- Demonstrate Databricks differentiation through custom-built solutions in competitive opportunities.
- Package engagement outcomes for transition to core solutions architects, specialists, data scientists, and partners.
Requirements
- Approximately six or more years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Hands-on coding ability in Python and SQL, including building, debugging, and demonstrating working solutions live.
- Experience with distributed data systems, production cloud deployments on AWS, Azure, or GCP, scalable pipelines, streaming, and lakehouse patterns.
- Understanding of infrastructure, security, and governance requirements for production data platforms.
- Experience leading architecture discussions, design reviews, trade-off analysis, and translating technical architecture into business value.
- Comfort with ambiguity, time-boxed engagements, rapid prioritization, and high-impact customer work.
Nice to have
- Databricks certifications in Data Engineering, ML, or Platform.
- Familiarity with Snowflake, AWS native services, or Azure Synapse.
- Experience in a data/AI company or cloud provider.
- Industry expertise in financial services, healthcare, retail, media, or another vertical.
Culture & Benefits
- Initial 12-month fixed-term contract with an intention to extend after successful completion of the probation period.
- Work within a rapid-response Field Engineering team handling strategic, high-visibility customer engagements.
- Inclusive workplace committed to equal employment opportunity and diversity.
- Comprehensive regional benefits and perks.
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