Specialist Solutions Architect (Data Warehousing)
Tokyo · 5+ years experience · Posted Oct 13, 2026
At a glance
- Experience
- 5+ years experience
- Location
- Tokyo
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — 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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases.
- You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture.
- SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform.
Responsibilities
- Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment
- Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
- Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
- Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
- Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
- Contribute to the Databricks Community
Requirements
- 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, query conversion, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW or other systems
- Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics,, MPP, and OLAP
- Deep Specialty Expertise in at least one of the specified areas
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Production programming experience in SQL and Python, or Java for developing UDFs
- Experience with the AWS, Azure, or GCP clouds
- 2 years professional experience with data warehousing and big data technologies
- 2 years customer-facing experience in a pre-sales or post-sales role
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
- Fluent proficiency in Japanese is a must
Preferred qualifications
- Business-level English preferred
- Databricks Certification
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees
Skills
- SQL
- Python
- Java
- AWS
- Azure
- GCP
- Redshift
- SAP
- Synapse
- Snowflake
- OLAP
- OLTP
Show all 13 skills
- MPP
