Solutions Architect, EMEA Startups — France

Databricks · Paris, France · Field Engineering - Other · listed August 7, 2026

The shape of it

Seniority
Principal
Experience asked
5+ years
Where
Hybrid
Requirements listed
10
Length
972 words

In the posting’s own words

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.

What it asks for · 10

  • 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.

Also a plus

  • 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.

Tools and skills named

Data
  • Databricks5×
  • Data warehouse2×
  • Spark2×
Languages
  • Java
  • Python
  • Scala
  • SQL
Cloud & infra
  • AWS
  • Azure
  • GCP
Go to market
  • SaaS
  • Solutions architecture
Models & research
  • Machine learning2×
Product & design
  • Roadmap
Security & compliance
  • Security

Words the posting leans on

  • technical17×
  • data13×
  • account11×
  • customer8×
  • architecture7×
  • experience7×
  • solutions7×
  • startups6×
  • architects5×
  • business5×
  • discovery5×
  • engineering5×
  • technology5×
  • adoption4×
  • partner4×
  • account executives3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.