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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