# Partner Solutions Architect

**Company**: Databricks
**Location**: Tokyo, Japan
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8785221002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4981d6a2-845

## Description

As a Partner Solutions Architect, you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and technical and sales team members who work directly with customers.

You will develop 'technical champions' within top C&SI Partners, providing enablement on technical matters related to the Databricks product.

Working with partners, you will help customers achieve tangible data-driven outcomes through the use of the Databricks Data + AI Platform, assisting data teams in completing projects and integrating the platform into their enterprise ecosystem.

As a team member, you will exercise and develop expertise in areas such as open-source projects like Apache Spark, MLflow, and Delta Lake, as well as major public cloud infrastructure and services.

You will use this expertise to become a trusted advisor to C&SI partners, reporting to the AVP, FDE.

The impact you will have:

- Provide partners with the necessary enablement to assist 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.

- Share expertise as a Big Data Analytics expert on aspects of architecture and design with the partner network.

- Produce creative technical solutions and blog posts.

What we look for:

- 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 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, 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.

- Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, click here.

## Skills

### Required
- Apache Spark
- MLflow
- Delta Lake
- SQL
- Python
- Scala
- Java
- Data Engineering
- Data Warehousing
- Data Science
- Machine Learning
- AWS
- Azure
- GCP

### Nice to have
- Japanese
- English

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8785221002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)