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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. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the AVP, Professional Services of APJ.

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 post

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
Native-level fluency in Korean and professional working proficiency in English (both written and verbal)