Solutions Architect, EMEA Startups — France

Навыки

• AI-инструменты в работе
• AWS
• Azure
• BI-инструменты
• Коммуникация
• Data Governance
• Data Lake

О компании и продукте

• Databricks is a Data and AI company. More than 20,000 organisations worldwide rely on the Databricks Data Intelligence Platform to build and scale data, analytics and AI applications.
• At Databricks, we are committed to fostering a diverse and inclusive workplace where everyone can excel. We consider qualified applicants without regard to protected characteristics in accordance with applicable law.
• 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 .

Задачи

• Partner with Startups Account Executives to build and execute technical account strategy for acquiring new logos and growing Databricks consumption on existing accounts
• Engage founders, CTOs, VPs of Engineering/Data, architects and technical practitioners in consultative discovery
• Translate business priorities into clear data, analytics, AI and platform use cases
• Lead the technical sales motion from discovery through evaluation: define success criteria, develop solution architectures, deliver demonstrations, guide sizing, run or coordinate proofs of concept, and establish a clear path to adoption
• Provide technical leadership across data engineering, data warehousing, analytics and BI, machine learning, GenAI, Apps, Lakebase and related cloud-native workloads
• Establish technical wins by connecting customer outcomes to the Databricks platform and helping stakeholders make confident architecture and technology decisions
• Use account context and customer signals—including consumption movement, user activity, feature adoption, architecture, security and cost considerations—to prioritize high-value technical engagements and create relevant points of view
• Contribute to the startup and technical ecosystem through workshops, office hours, meetups, events, partner activity and other 1:many engagements
• Collaborate with Sales, Product, Engineering, delivery and services teams, Support and technology partners to represent customer needs, remove technical blockers and accelerate adoption
• FEQ427R352
• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule)
• Databricks is a Data and AI company
• Our Solutions Architects help customers turn complex data and AI challenges into secure, scalable solutions that deliver measurable business value
• The EMEA Startups team works with fast-growing, digital-native companies as they move from early technical exploration to production adoption
• In this role, you will engage founders, CTOs, VP Engineering/Data, architects and technical leaders to identify high-impact use cases, shape modern data and AI architectures, and help customers make Databricks a strategic part of their product and technology roadmap
• You will work on new-logo accounts in the France Startups segment and SMBs, while selectively supporting expansion opportunities in existing accounts
• You will operate across a broad and dynamic account set, combining strong technical judgment with business-oriented discovery and signal-based prioritisation
• You will partner closely with Account Executives and the wider Field Engineering organisation to create technical wins, accelerate time to value and build lasting customer relationships

Требования

• 5+ years of experience in a customer-facing pre-sales, technical architecture, consulting or equivalent role
• A track record of leading technical discovery and architecture discussions with software engineers, data teams, architects and senior technical decision-makers
• Experience designing and architecting distributed data systems and cloud-native solutions
• Hands-on programming experience in at least one of Python, SQL, Scala, or Java
• Experience building solutions with one or more public-cloud providers, such as AWS, Azure or GCP
• Depth in at least one relevant domain, such as data engineering, data warehousing, analytics and BI, data science, machine learning, GenAI, streaming, OLTP or data governance
• Experience taking ambiguous customer problems from use-case discovery through solution design, evaluation and a clear technical outcome
• Strong business communication skills, including the ability to explain technical trade-offs, connect architecture to business value, and communicate through presentations, whiteboarding, written points of view and platform demonstrations
• Ability to operate with pace and autonomy across multiple accounts, prioritise effort and collaborate effectively with Account Executives and the wider account team
• A customer-first mindset, strong curiosity and the ability to learn quickly in a fast-moving technology environment
• Business proficiency in both French and English is required. Fluency in Italian and/or Spanish is a strong plus

Будет плюсом

• Experience working with high-growth technology companies, product engineering teams, SaaS businesses, founders or venture-backed organisations
• Experience with Apache Spark, Delta Lake, MLflow or comparable modern data and AI technologies
• Familiarity with startup, VC, accelerator, ISV or cloud-partner ecosystems
• Databricks and cloud certifications
• Location and travel
• This role is based in the Paris region, within a commutable distance for a hybrid working schedule
• Willingness to travel up to 20-30% as required, primarily for customer meetings, local and regional events, and team activities

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.