Specialist Solutions Architect (Security)
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will guide customers in designing and implementing big data solutions on Databricks, with a focus on cloud infrastructure and security. You will architect production workloads, support Solution Architects with proofs of concept, sizing and custom architectures, and contribute to the community through tutorials and training.
Requirements
- Pre-sales or post-sales experience with external clients
- Experience as a Data Platform engineer building production big data systems (Spark)
- Experience designing cloud infrastructure on AWS, Azure, or GCP with cloud security and networking best practices
- Hands-on cloud infrastructure automation (Terraform, ARM, CloudFormation)
- Experience designing security lakehouse/data platforms on Databricks for SIEM, security analytics and threat hunting
- Deep knowledge of CI/CD, testing, automation and orchestration
- Production programming in Python, Scala, SQL, or R
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Fluent Japanese required; business-level English preferred
- Nice to have: Databricks Certification
Responsibilities
- Provide technical leadership to guide customers through big data projects from architecture and security design to deployment and automation
- Architect production-level workloads including performance testing and optimisation
- Provide expertise in cloud infrastructure and security for the Databricks platform
- Assist Solution Architects with proofs of concept, workload sizing and custom architectures
- Improve community adoption through tutorials, training, hackathons and presentations
- Contribute to the Databricks Community as a technical SME
