Databricks · AI infrastructure

Sr. Specialist Solutions Architect - Platform Security and Cloud Infrastructure

Still open on Databricks's site · checked just now

Databricks

What you'll do

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Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation
Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation
Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
Improve community adoption (through tutorials, training, hackathons, conference presentations)
Contribute to the Databricks Community and act as a technical SME.

Pre-sales or post-sales experience working with external clients across a variety of industry markets
Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)
Experience designing cloud infrastructure and services, in particular in AWS and Azure, applying best practices in cloud security and networking, including:

Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).
Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability
Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)

Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc).
Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections.
Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions
Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration
Production programming experience in one or more of the following languages - Python, Scala, SQL, or R
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
The role is located in Paris and requests travel up to 30% when needed.
Fluency in French and English
Nice to have: Databricks Certification

English

Last checked 2 Nov 2026. The details above were extracted automatically; the employer's original posting is the authority.