Sr. Specialist Solutions Architect - Platform Security and Cloud Infrastructure
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will guide customers in building big data solutions on Databricks, providing technical leadership on architecture, security design and deployment best practices. You will architect production workloads, provide cloud infrastructure and security expertise, and assist Solution Architects with proofs of concept, workload sizing and custom architectures. You will also contribute to community adoption.
Requirements
- Pre-sales or post-sales experience with external clients
- Experience as Data Platform engineer with production big data systems (Spark)
- Experience designing cloud infrastructure in AWS and Azure with cloud security and networking best practices
- Hands-on cloud infrastructure automation (Terraform, ARM, CloudFormation)
- Experience designing security lakehouse on Databricks for SIEM, security analytics and threat hunting
- Ability to design scalable, secure, cost-effective big data solutions
- Knowledge of CI/CD, testing, automation and orchestration
- Production programming in Python, Scala, SQL or R
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Located in Paris, travel up to 30%
- Fluency in French and English
- Nice to have: Databricks Certification
Responsibilities
- Provide technical leadership for strategic customers on big data projects including architecture, security and automation
- Architect production-level workloads including pipeline load performance testing and optimisation
- Provide expertise in cloud infrastructure and security for the Databricks Lakehouse Platform
- Assist Solution Architects with proof of concept content, workload sizing and custom architectures
- Improve community adoption through tutorials, training, hackathons and conference presentations
- Contribute to the Databricks Community as a technical SME
