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Specialist Solutions Architect (Security)

Databricks· Engineering
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Tokyo, JapanFull-timePosted 1mo ago

About the role

Specialist Solutions Architect (SSA) to guide customers in building big data solutions on Databricks, focusing on architectural design, security, and production workloads. Customer-facing role reporting to Specialist Field Engineering Manager, with hands-on cloud and big data experience and ongoing technical development.

Responsibilities

  • Provide technical leadership to guide strategic customers to successful implementations on big data projects, including architectural and security design, development and deployment best practices, and 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 Intelligence Platform
  • Assist Solution Architects with advanced aspects of the technical sale such as custom proof of concept content, workload sizing, and custom architectures
  • Improve community adoption through tutorials, training, hackathons, conference presentations
  • Contribute to the Databricks Community and act as a technical SME.

Qualifications

  • Pre-sales or post-sales experience working with external clients across various industries
  • Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)
  • Experience designing cloud infrastructure and services (AWS, Azure, or GCP) with cloud security and networking practices (VPC/VNet design, routing, segmentation, private connectivity)
  • Architect production cloud networks for data and AI workloads, including segmentation, routing, data exfiltration prevention, performance and reliability
  • Identity & Access Management (RBAC, least privilege, IdP integration)
  • Hands-on experience with cloud infrastructure automation (Terraform or cloud-specific tools like ARM, CloudFormation)
  • Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks (SIEM, security analytics, threat hunting, detections)
  • Ability to design scalable, secure, cost-effective cloud-based big data solutions
  • Deep knowledge of CI/CD, testing (unit/integration), automation and orchestration
  • Production programming experience in Python, Scala, SQL, or R
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent
  • Nice to have: Databricks Certification

Skills

Required:Cloud infrastructure designVPC/VNet designIdentity & Access ManagementCloud automationBig data systems (Spark)Programming
Nice to have:Security lakehouse / security data platform

Benefits

  • Benefits details available in regional document linked in the job post.
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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