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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 quickly in a fast-moving technology environment.
Preferred qualifications
- 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.
- Business proficiency in both French and English is required. Fluency in Italian and/or Spanish is a strong plus.
- Willingness to travel up to 20-30% as required, primarily for customer meetings, local and regional events, and team activities.
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.
About Databricks
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.
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.
Skills Required
- 5+ years in customer-facing pre-sales, technical architecture, consulting or equivalent role
- Track record of leading technical discovery and architecture discussions with engineering and data teams
- Experience designing and architecting distributed data systems and cloud-native solutions
- Hands-on programming experience in at least one: Python, SQL, Scala, or Java
- Experience building solutions with one or more public cloud providers (AWS, Azure, or GCP)
- Depth in at least one domain (data engineering, data warehousing, analytics/BI, data science, ML/GenAI, streaming, OLTP, or data governance)
- Experience taking ambiguous customer problems from discovery through solution design, evaluation and clear technical outcomes
- Strong business communication skills (presentations, whiteboarding, written POVs, demos)
- Ability to operate autonomously across multiple accounts and collaborate effectively with Account Executives
- Business proficiency in French and English
- Based in the Paris region (commutable) and willing to work hybrid
- Willingness to travel up to 20-30% for customer meetings and events
- Experience with high-growth tech companies, founders, product engineering teams, SaaS 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
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
