Europe Arbeitnow ·
full-timeSolutions Architect, EMEA Startups — France
Databricks · Paris
FEQ427R352 Solutions Architect, EMEA Startups — France 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,Spain,Italy 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. The impact you will have: 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. What we look for: 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 qu
| Role | Solutions Architect, EMEA Startups — France |
|---|---|
| Company | Databricks |
| Location | Paris |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Databricks
Databricks is a data and AI company that provides a unified platform built on an open lakehouse architecture. The platform is designed to help organizations manage data, analytics, and AI governance in one place, enabling both technical teams and general users to build, deploy, and manage production-ready applications and AI agents. Founded in 2013 by the creators of the lakehouse architecture and several open-source projects, the company focuses on democratizing data insights through automation and natural language tools. Databricks serves over 20,000 customers globally, including more than 60% to 70% of the Fortune 500. Headquartered in San Francisco, the company maintains a global presence supported by a network of over 1,200 cloud, ISV, and consulting partners.
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