Europe Arbeitnow ·
full-timeSr. Specialist Solutions Architect - Platform Security And Cloud Infrastructure
Databricks · Europe
FEQ128R35 Sr.Specialist Solutions Architect - Platform Security and Cloud Infrastructure As a Sr. Specialist Solutions Architect (SSA-SME), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. Reporting to the Director, Field Engineering (Specialist). The impact you will have: 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. What we look 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 The role is located in Paris and requests travel up to 30% when needed. Fluency in French and English Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unif
| Role | Sr. Specialist Solutions Architect - Platform Security And Cloud Infrastructure |
|---|---|
| Company | Databricks |
| Location | Europe |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Databricks
Databricks is a data and AI company that provides a unified platform built on an open lakehouse architecture. The platform is designed to help organizations manage data, analytics, and AI governance in one place, enabling both technical teams and general users to build, deploy, and manage production-ready applications and AI agents. Founded in 2013 by the creators of the lakehouse architecture and several open-source projects, the company focuses on democratizing data insights through automation and natural language tools. Databricks serves over 20,000 customers globally, including more than 60% to 70% of the Fortune 500. Headquartered in San Francisco, the company maintains a global presence supported by a network of over 1,200 cloud, ISV, and consulting partners.
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