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.

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

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

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As a Customer Support Engineer at Electronic Arts, you will work directly with Game Developer teams to resolve technical challenges and improve product quality. You will have experience of minimum 3 years working with customers and empathy for the customer experience.

Responsibilities

• Work directly with Game Developer teams to help them solve technical challenges
• Resolve issues involving project implementation, code error diagnosis, debugging, validation, and root cause analysis for the products/platforms assigned
• Build internal relationships with our development and product management teams to help us communicate the priorities of our customers
• Improve product quality by injecting fresh ideas and bringing innovations to existing products or platforms, building automation
• Develop additional software components for tasks associated with the projects/platforms, designing and debugging software applications
• Participate in projects that improve overall product and documentation quality
• Participate in product/platform testing and updates
• Achieve knowledge transfer through the delivery of training, knowledge sessions, mentoring
• Help increase the team efficiency by sharing knowledge, providing feedback about best practices, writing tools/utilities using AI stack
• Develop your technology skills and become a versatile IT professional
• Participate in schedule rotations and working shifts

Qualifications

• Experience of minimum 3 years working with customers
• Empathy for the customer experience
• Balance varying levels of priority and urgency
• Understand complex technical issues and manage to express them in simple and concise language
• Familiarity with database concepts (e.g. SQL Server, MongoDB)
• Experience around the following technology concepts - virtualization, operating systems and server administration (Linux, Windows), cloud infrastructure and services(AWS, Azure), networking (IP, routing, firewall, ACL's), coding/scripting (Python, Bash, Powershell), application and API endpoints, monitoring and observability tools (Grafana, Kibana)
• Qualification in Computer Engineering or relevant experience needed

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