Role at a glance
- Salary
- Not Disclosed
- Location
- Amsterdam, Netherlands
- Work arrangement
- Hybrid
- Employment
- Contract
- Experience
- 4+ years of experience designing Cloud infrastructure/Security and services
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Role Summary
This customer-facing Senior Specialist Solutions Engineer role supports Field Engineering pre-sales teams and strategic customers building big data solutions on the Databricks Data Intelligence Platform. The role focuses on cloud infrastructure, security, governed workloads and security lakehouse implementations, helping customers with architecture, implementation and adoption.
What You'll Do
- Provide technical leadership for strategic customer big data implementations, from architectural and security design through...
- Assist Solution Architects with advanced technical sales activities, including custom proof-of-concept content, workload sizing and...
- Architect production-level cloud-native governed workloads
- Provide technical expertise in cloud infrastructure and security for the Databricks Lakehouse Platform
- Lead workshops, hackathons and conference presentations to enable adoption
- Contribute to the broader Databricks community
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Pre-sales or post-sales experience with external customers or internal clients/stakeholders; 4+ years designing cloud infrastructure and security services; experience with cloud networks, connectivity, identity and access management, infrastructure automation, and Databricks security lakehouse implementations; hands-on experience with prompt engineering, vibe coding and agentic tools; foundational knowledge of large-scale processing/analytical engines.
Required
- 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 using AWS, Azure or GCP
- Experience architecting, designing, deploying and maintaining cloud networks and connectivity, including VPC/VNet design, routing,...
- Experience with identity and access management, including role-based access control, least privilege and IdP integration
- Hands-on experience with cloud infrastructure automation, such as Terraform, ARM or CloudFormation
- Experience supporting customers in designing and implementing a security lakehouse or security data platform on Databricks
- Hands-on experience with prompt engineering, vibe coding and agentic tools
- Foundational knowledge of large-scale processing or analytical engines for data pipeline architecture design
Preferred
- Databricks Certification(s)
Original job description
Content provided by the employer
Original job description
Content provided by the employer
(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.
- Databricks Certification(s) will be advantageous for the role.
Notes on the role:
- This will be an office-based contract (Amsterdam), with a hybrid schedule, requiring up to 30% travel when needed for customer visits, events & trainings.
- An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.
#LI-hybrid
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 unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.