search Browse Jobs
Senior Specialist Solutions Engineer - Platform Security and Cloud InfrastructureDatabricks · Amsterdam, Netherlands
Databricks logo

Databricks

company page ↗ Visa Sponsoring Company

Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-08-18 Amsterdam, Netherlands Hybrid ICT
💰 Salary Not shared 📊 Market 8,000 EUR–12,000 EUR/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Role & Responsibilities

  • ● Guide customers in building big data solutions on Databricks that span a large variety of use cases.
  • ● Work with and support the Field Engineering pre-sales teams.
  • ● 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.
  • ● Strengthen technical skills through mentorship, learning, and internal training programs to continuously consolidate skills in the area of speciality.
  • ● 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.
  • ● Architect production-level cloud native governed workloads.
  • ● Provide technical expertise in cloud infrastructure and security relating to the Databricks Lakehouse Platform.
Show 1 more
  • ● Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community.

Requirements

Certifications

  • ● Databricks Certification(s) will be advantageous for the role.

Experience

  • ● 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.
  • ● Experience with 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.

Skills

  • ● Experience architecting, designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity).
  • ● Foundational knowledge of large-scale processing/analytical engines for data pipeline architecture design.

Benefits

  • ● This will be an office-based contract (Amsterdam), with a hybrid schedule.