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About the Role
Guide customers in their cloud data warehousing transformation with Databricks, spanning a variety of use cases. This customer-facing role requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. You will help customers through evaluations and production planning for business intelligence workloads, aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert, you will strengthen technical skills through mentorship and training, establishing expertise in data warehousing specialties like performance tuning, data modeling, architecture design, and migration planning.
Responsibilities
- Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads, 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 areas such as data warehousing evaluations or assisting with successful workload migrations.
- Assist Solution Architects with 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 of experience in a technical role with expertise in data warehousing (e.g., 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 following areas: scaling large analytical data warehouse workloads in the cloud that are performant and cost-effective; maintaining, extending, or migrating a production data warehouse system to evolve with complex needs (including data modeling, data governance, and integration with business intelligence tools); migrating on-premise EDW workloads to the public cloud.
- 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 AWS, Azure, or GCP clouds.
- 2 years of professional experience with data warehousing and big data technologies (e.g., SQL, Redshift, SAP, Synapse, Snowflake, OLAP & OLTP workloads).
- 2 years of customer-facing experience in a pre-sales or post-sales role.
- Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire.
- Fluent proficiency in Japanese is a must.
- Business-level English is preferred.
Skills
- Data Warehousing
- Cloud Data Warehousing
- Lakehouse Architecture
- Business Intelligence
- Databricks Data Intelligence Platform
- Performance Tuning
- Data Modeling
- Architecture Design
- Production Migration Planning
- SQL
- Python
- Java
- AWS
- Azure
- GCP
- Redshift
- SAP
- Synapse
- Snowflake
- OLAP
- OLTP
Location
- Tokyo, Japan
Work Type
- Full-time
Experience Level
- 5+ years experience in a technical role
- 2 years professional experience with data warehousing and big data technologies
- 2 years customer-facing experience
Education Level
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Benefits
- Comprehensive benefits and perks that meet the needs of all 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
- Databricks is committed to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
- Individuals 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.