Specialist Solutions Architect - Platform Security and Cloud Infrastructure

As a Specialist Solutions Architect - Platform Security and Cloud Infrastructure, you will guide customers in building big data solutions on Databricks across a wide variety of use cases. This is a customer-facing role supporting Solution Architects and requires hands-on production experience with cloud infrastructure and big data technologies. You will help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand usage of the Databricks Lakehouse Platform. As a deep technical expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your skills through mentorship, learning, and internal training programs.

Reporting to the Manager, 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 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, and 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, such as AWS, Azure, or GCP, applying best practices in cloud security and networking
• Hands-on experience with cloud infrastructure automation, such as Terraform or cloud-specific resource management tools like ARM or CloudFormation
• Experience supporting customers in designing and implementing a security lakehouse or 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
• Nice to have: Databricks Certification

Cloud security and networking experience should include:

• Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity)
• Architecting production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance and reliability
• Identity & Access Management, such as role-based access control, applying the principle of least privilege, and integration with IdPs

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

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.