Partner Solutions Architect
Tokyo, JapanPosted 1mo ago
About the role
Partner Solutions Architect for Databricks in Tokyo, Japan, working with Consulting & SI partners to enable, design, and advocate for Databricks solutions, leveraging open-source tech and public cloud platforms to drive data-driven outcomes for customers.
Responsibilities
- Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
- Engage with the partner technical community by leading workshops, seminars, and meet-ups
- You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
- Show expertise by producing creative technical solutions and blog post
Qualifications
- 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets
- Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
- Coding experience in SQL / Python / Scala / Java
- Expertise in at least one of the following: Data Engineering technologies (e.g. Apache Spark™, Hadoop, Kafka); Data Warehousing (SQL, OLTP/OLAP/DSS); Data Science and ML (pandas, scikit-learn, HPO)
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Full professional proficiency in Japanese (mandatory); business-level English preferred
Skills
Required:Apache SparkPublic Cloud ArchitectureSQLPython/Scala/JavaData Engineering / Data SciencePre-sales / Post-sales experience
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
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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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