Databricks25.02.2026
Specialist Solutions Architect
Seoul
Обязанности
- 01Guide customers in building big data solutions on Databricks across various use cases
- 02Work with Solution Architects to support customer implementations
- 03Help customers through design and successful implementation of essential workloads
- 04Align customer technical roadmap for expanding usage of the Databricks Lakehouse Platform
- 05Provide technical leadership for strategic customers on big data projects from architectural design to data engineering to model deployment
- 06Architect production-level workloads, including end-to-end pipeline load performance testing and optimization
- 07Assist Solution Architects with advanced technical sale aspects, including custom proof of concept content, workload sizing, and custom architectures
- 08Improve community adoption through tutorials, training, hackathons, and conference presentations
- 09Contribute to the Databricks Community
Требования
- 01Experience in a customer-facing technical role
- 02Expertise in at least one of the following: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions
- 03Experience with model selection, model lifecycle, hyperparameter tuning, model serving, and deep learning
- 04Experience building use cases that use data (e.g., risk modeling, fraud detection, customer lifetime value)
- 05Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP
- 06Maintain and extend production data systems to evolve with complex needs
- 07Production programming experience in Python, R, Scala, or Java
- 08Deep specialty expertise in at least one area (scaling big data workloads, cloud infrastructure, ML pipelines, etc.)
- 09Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- 10Native level Korean required
- 11Business level English is a plus
Условия
- 01Technical leadership role with mentorship and learning opportunities
- 02Opportunity to specialize in performance tuning, machine learning, industry expertise, or other areas
- 03Work with strategic customers on high-impact big data projects
- 04Collaboration with global teams and participation in community initiatives
- 05Comprehensive benefits and perks (details vary by region)