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About the Role

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks, spanning a variety of use cases. These customer-facing roles require hands-on production experience with cloud infrastructure and big data technologies. SSAs assist customers with design and implementation of essential workloads, aligning their technical roadmap for expanding the Databricks Data Intelligence Platform usage. You will strengthen technical skills through mentorship, learning, and internal training programs.

Responsibilities

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 our Databricks Intelligence 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.

Requirements

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).
Architecting 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.
Databricks Certification is a plus.

Skills

Big data solutions
Cloud infrastructure
Databricks Data Intelligence Platform
Architectural design
Security design
Development best practices
Deployment best practices
Automation
Production workload architecture
Pipeline load performance testing
Optimization
Cloud infrastructure expertise
Security expertise
Technical sales support
Proof of concept development
Workload sizing
Custom architecture design
Community engagement
Technical Subject Matter Expert (SME)
Spark
AWS
Azure
GCP
Cloud networking
Cloud security
VPC/VNet design
Routing
Segmentation
Private connectivity
Data exfiltration prevention
Performance and reliability
Identity & Access Management (IAM)
Role-based access control (RBAC)
Principle of least privilege
Integration with Identity Providers (IdPs)
Terraform
ARM templates
CloudFormation
Security lakehouse
Security data platform
SIEM augmentation
Security analytics
Threat hunting
Advanced detection building
Highly performant solutions
Scalable solutions
Secure solutions
Cost-effective solutions
CI/CD
Unit testing
Integration testing
Orchestration
Python
Scala
SQL
R

Location

Tokyo, Japan

Work Type

Full-time

Experience Level

Pre-sales or post-sales experience
Experience as a Data Platform engineer
Hands-on experience with cloud infrastructure automation

Education Level

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience

Benefits

Comprehensive benefits and perks that meet the needs of all of our employees

About the Company

Databricks is the Data and AI company.
More than 20,000 organizations worldwide 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.

Equal Opportunity

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.