Partner Solutions Architect

FEQ127R214

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 product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.

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


• Written and verbal level fluency in Japanese and English

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