Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure

Cacheflow; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Cacheflow is seeking a Senior Specialist Solutions Engineer to guide customers in building big data solutions on Databricks, focusing on platform security and cloud infrastructure. You will partner with Field Engineering, contribute to architecture decisions, and lead hands-on cloud security initiatives.

The role emphasizes security lakehouse and data platform workloads, with a strong focus on production-grade cloud architectures, automation, and customer adoption through workshops and technical

Qualifications

• 4+ years designing cloud infrastructure and security architectures.
• Experience with AWS, Azure, or GCP.
• Proven ability to guide customers through design and deployment.
• Hands-on with cloud infrastructure automation tools.

Responsibilities

• Provide technical leadership to guide customers to successful cloud and security implementations.
• Collaborate with Field Engineering to support pre-sales and architectural work.
• Design and propose automation, workload sizing, and secure architectures.

Skills

Cloud security design

Cloud infrastructure

Pre-sales experience

Architectural design

Automation

Tools

Terraform

CloudFormation

ARM

IdP integration

Job description

(FEQ427R351) Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure

As a Senior Specialist Solutions Engineer, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. This is a customer-facing role that works with and supports the Field Engineering pre-sales teams and requires hands-on production experience with cloud infrastructure and big data technologies. Specialist Solutions Engineers help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Data Intelligence 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.

The impact you will have:

• Technical thought leader:
  • 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
  • Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, workload sizing, and custom architectures

Cloud Infra & Security Expertise

• Architect production-level cloud native governed workloads
• Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform
• Community & Adoption: Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community.

What we look for:

• Pre-sales or post-sales experience working with external customers (or internal clients/stakeholders) across industries
• 4+ years of experience designing Cloud infrastructure/Security and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including:
  • Architecting, designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).
  • 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 (external or internal) 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.
• Hands‑on experience with prompt engineering, vibe coding and agentic tools
• Foundational knowledge of large-scale processing/analytical engines for data pipeline architecture design.