Specialist Solutions Architect (Security)
On-siteSingapore, Singapore
Job Summary
Guide strategic customers through big data solution design, implementation, and deployment on Databricks, covering architectural, security, and automation best practices. Architect production-level workloads including end-to-end pipeline performance testing, cloud network segmentation, and identity management. Assist Solution Architects with custom proof of concepts, workload sizing, and advanced technical sales content while improving community adoption through tutorials and conferences. Contribute as a technical SME to the Databricks Community, reporting to the Specialist Field Engineering Manager. This role covers the Asean and Greater China Regions with up to 30% travel.
Required Qualifications
- 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
- 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 located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed
Desired Qualifications
- Databricks Certification
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