Databricks07.08.2026

Архитектор решений, EMEA Startups — Франция

Зарплата не указана

РЫНОК

15 000 ₽медиана по профессии

Solution Architect · 60 вакансий с указанной зарплатой

5 600половина предложений: 15 000–18 258180 000

Работодатель не указал зарплату — сравните с рынком сами.

Paris

Обязанности

01Engage founders, CTOs, VP Engineering/Data, architects and technical leaders to identify high-impact use cases
02Shape modern data and AI architectures
03Help customers make Databricks a strategic part of their product and technology roadmap
04Partner with Startups Account Executives to build and execute technical account strategy for acquiring new logos and growing Databricks consumption on existing accounts
05Lead the technical sales motion from discovery through evaluation
06Provide technical leadership across data engineering, data warehousing, analytics and BI, machine learning, GenAI, Apps, Lakebase and related cloud-native workloads
07Establish technical wins by connecting customer outcomes to the Databricks platform
08Use account context and customer signals to prioritize high-value technical engagements
09Contribute to the startup and technical ecosystem through workshops, office hours, meetups, events, partner activity and other 1:many engagements
10Collaborate with Sales, Product, Engineering, delivery and services teams, Support and technology partners to represent customer needs, remove technical blockers and accelerate adoption

015+ years of experience in a customer-facing pre-sales, technical architecture, consulting or equivalent role
02A track record of leading technical discovery and architecture discussions with software engineers, data teams, architects and senior technical decision-makers
03Experience designing and architecting distributed data systems and cloud-native solutions
04Hands-on programming experience in at least one of Python, SQL, Scala, or Java
05Experience building solutions with one or more public-cloud providers, such as AWS, Azure or GCP
06Depth 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
07Experience taking ambiguous customer problems from use-case discovery through solution design, evaluation and a clear technical outcome
08Strong 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
09Ability to operate with pace and autonomy across multiple accounts, prioritise effort and collaborate effectively with Account Executives and the wider account team
10A customer-first mindset, strong curiosity and the ability to learn quickly in a fast-moving technology environment

01Location: Paris region, within a commutable distance for a hybrid working schedule
02Business proficiency in both French and English is required
03Willingness to travel up to 20-30% as required, primarily for customer meetings, local and regional events, and team activities