Specialist Solutions Architect (Data Warehousing)
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 their cloud data warehousing transformation with Databricks, supporting Solution Architects. You will architect production workloads, run performance testing and optimization, assist with proofs of concept and workload sizing, and provide tutorials and training to grow community adoption.
Requirements
- 5+ years in a technical role with data warehousing expertise
- Experience designing and implementing data warehousing technologies including relational databases, SQL, MPP and OLAP
- Deep specialty expertise in scaling cloud warehouses, maintaining or migrating production warehouses, or migrating on-premise EDW to cloud
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Production programming in SQL and Python, or Java for UDFs
- Experience with AWS, Azure, or GCP
- 2 years professional experience with data warehousing and big data technologies
- 2 years customer-facing pre-sales or post-sales experience
- Meet technical training expectations within 6 months of hire
- Fluent Japanese required; business-level English preferred
- Nice to have: Databricks Certification
Responsibilities
- Provide technical leadership to guide strategic customers through cloud data warehousing transformations
- Architect production workloads including end-to-end pipeline load performance testing and optimization
- Become a technical expert in data warehousing evaluations and workload migrations
- Assist Solution Architects with proof of concept content, workload sizing and tuning
- Provide tutorials and training including hackathons and conference presentations
- Contribute to the Databricks Community