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Partner Solutions Architect

Tokyo, Japan💼 Full-time🗓 2026-04-14 → 2026-08-01

Core

Enable Databricks C&SI partners to adopt the Data Intelligence Platform by providing technical enablement, hands-on Apache Spark programming, and architectural guidance.

Role type

Partner Solutions Architect

Builds

Databricks Data Intelligence Platform adoption and integration within enterprise ecosystems

Domain

Big Data Analytics / Data Engineering / Machine Learning

Deliverable

production ML models | product features

Required skills

Apache Spark, SQL, Python, Scala, Java, public cloud architecture (AWS/Azure/GCP), data engineering, data warehousing, data science, machine learning, technical presentation, whiteboarding

Preferred skills

None stated

Technologies

Apache Spark, MLflow, Delta Lake, Kafka, pandas, scikit-learn

Responsibilities

Provide technical enablement to partners on Databricks product and Apache Spark programming; lead workshops, seminars, and meet-ups for the partner technical community; produce creative technical solutions and blog posts; act as a trusted advisor to C&SI partners

Seniority

Mid-Senior, hands-on IC

Rewrite
## Responsibilities - Work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and technical and sales team members who work directly with customers. - Develop 'technical champions' within top C&SI Partners, providing enablement on technical matters related to the Databricks product. - Help customers achieve tangible data-driven outcomes through the use of the Databricks Data Intelligence Platform, assisting data teams in completing projects and integrating the platform into their enterprise ecosystem. - Exercise and develop expertise in areas such as Apache Spark™, MLflow, Delta Lake, and major public cloud infrastructure and services. - Become a trusted advisor to C&SI partners. ## Requirements - 5+ years of pre-sales or post-sales experience working with external clients or partners across various industry markets. - Understanding of customer-facing pre-sales or consulting roles with a core strength in data engineering or data science. - Experience demonstrating technical concepts, including presenting and whiteboarding. - Experience developing architectures within a public cloud (AWS, Azure, or GCP). - Coding experience in SQL, Python, Scala, or Java. - Expertise in at least one of the following: Data Engineering technologies (e.g., Apache Spark™, Hadoop, Kafka), Data Warehousing (e.g., SQL, OLTP/OLAP/DSS), or Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO). - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. - Written and verbal fluency in Japanese and English. ## Nice to Have - None specified. ## Benefits - Benefits allowance - Equity awards - Enhanced Parental Leaves - Fitness reimbursement - Annual career development fund - Home office & work headphones reimbursement - Business travel accident insurance - Mental wellness resources - Employee referral bonus About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
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