Sr. Specialist Solutions Architect - Platform Security and Cloud Infrastructure
Level inferred from job title
Job description
A customer-facing Senior Specialist Solutions Architect role at Databricks, guiding strategic customers in building big data and security solutions on the Databricks Lakehouse Platform. The role provides deep technical expertise in cloud infrastructure and security and supports Solution Architects on advanced technical sales.
At a glance
- Work mode
- Remote · Paris, France
- Languages
- French – fluent, English – fluent
What you'll do
- 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 the 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
What we're looking for
- 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
- Fluency in French and English
Nice to have
- Databricks Certification
Your team
Specialist Field Engineering
Reports to the Specialist Field Engineering Manager / Director, Field Engineering (Specialist).
Apply
About Databricks
The Data and AI company
Databricks offers a unified Data + AI Platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog, used by more than 20,000 organizations worldwide to build and scale data and AI apps, analytics and agents.
Key facts
- San Francisco
- More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform
- 70% of the Fortune 500 rely on Databricks
- 30+ offices around the globe
Partners & customers