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Solutions Architect, EMEA Startups — France

Databricks· Engineering
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Hybrid (Paris region)full-timePosted 2mo ago

About the role

Databricks 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 to move from early technical exploration to production adoption, engaging founders and technical leaders to identify high-impact use cases and shape modern data and AI architectures.

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. 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.

Qualifications

  • 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.

Skills

Required:Pre-sales and technical architectureDistributed data systemsProgrammingPublic cloud experience
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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