# Partner Solutions Architect

**Company**: Databricks
**Location**: Tokyo, Japan
**Work arrangement**: onsite
**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/8347880002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2b92459c-038

## Description

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

You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

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

The impact you will have:

- 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 posts.

What we look for:

- 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 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 (Ex: Apache Spark, Hadoop, Kafka)

- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

- Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.

- Written and verbal level fluency in Japanese and English.

## Skills

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

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8347880002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)