Solutions Architect, EMEA Startups — France

The Solutions Architect, EMEA Startups , France role is based in the Paris region, within a commutable distance for a hybrid working schedule.

As a Solutions Architect at Databricks, you will help customers turn complex data and AI challenges into secure, scalable solutions that deliver measurable business value. You will work with fast-growing, digital-native companies in the France Startups segment and SMBs, engaging founders, CTOs, VP Engineering/Data, architects, and technical leaders to identify high-impact use cases and shape modern data and AI architectures.

Key Responsibilities:

• 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 to translate business priorities into clear data, analytics, AI, and platform use cases
• Lead the technical sales motion from discovery through evaluation, defining success criteria, developing solution architectures, delivering demonstrations, guiding sizing, running or coordinating proofs of concept, and establishing 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

Requirements:

• 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
• 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

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:

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