Specialist Solutions Architect

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

• Provide technical leadership to guide strategic customers to successful implementations on big data projects.
• Architect production level workloads, including end-to-end pipeline load performance testing and optimisation.
• Provide technical expertise in data management, cloud platforms, data science, machine learning, or architecture.
• Assist Solution Architects with advanced aspects of the technical sale.
• Improve community adoption through tutorials, training, hackathons, conference presentations.
• Contribute to the Databricks Community.

• Experience in a customer-facing technical role with expertise in at least one of: Software Engineer/Data Engineer (query tuning, performance tuning, troubleshooting, debugging Spark or other big data solutions); Data Scientist/ML Engineer (model selection, model lifecycle, hyper parameter tuning, model serving, deep learning); Data Applications Engineer (risk modelling, fraud detection, customer life-time value).
• Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
• Maintain and extend production data systems.
• Production programming experience in Python, R, Scala or Java.
• Deep Specialty Expertise in at least one of: scaling big data workloads; Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces; designing data solutions on cloud infrastructure (AWS, Azure, GCP); ML concepts covering Model Tracking, Model Serving and productionizing ML pipelines using tools like MLflow.
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
• Native level Korean required, Business level English a plus.