Lead the technical strategy for Greenfield customers as a Solutions Architect at Databricks in Paris.
Posted by employer 4 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 14 hours ago
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Solutions Architect focuses on developing and executing the technical strategy for new customers, guiding them from initial discussions to full deployment. Key skills include proficiency in Python and SQL, along with expertise in distributed data systems and the Databricks platform. This position is ideal for someone with over six years of experience in solutions architecture or related fields, who can effectively communicate complex technical concepts to both technical and executive audiences. The role also involves collaboration with cross-functional teams to deliver tailored solutions.
Quick facts
- Is the Solutions Architect Greenfield Enterprise France role remote?
- No — this is an on-site role in Paris, France.
- How much experience is required?
- At least 6 years of relevant experience for this Solutions Architect Greenfield Enterprise France role.
- Where is the role based?
- Databricks is hiring for this position in Paris, France.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Databricks, GCP, Python, SQL.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect Greenfield Enterprise France role at Databricks.
From the original posting
Solutions Architect Greenfield Enterprise France
The role is based in Paris or within commuting distance of the office.
The Role
As a Solutions Architect, you will lead the technical strategy for your Greenfield (New Logo) customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Fluency in French and English
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.
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