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Specialist Solutions ArchitectDatabricks · Seoul, South Korea
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Databricks

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Specialist Solutions Architect

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🗓️ Posted 2026-08-25 Seoul, South Korea Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Responsibilities

  • ● Guide customers in building big data solutions on Databricks that span a large variety of use cases.
  • ● Help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform.
  • ● Strengthen your technical skills through mentorship, learning, and internal training programs.
  • ● Establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.
  • ● Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
  • ● Architect production level workloads, including end-to-end pipeline load performance testing and optimisation.
  • ● Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture.
  • ● Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures.
  • ● Improve community adoption (through tutorials, training, hackathons, conference presentations).
  • ● Contribute to the Databricks Community.

Requirements

  • ● Experience in a customer-facing technical role with expertise in at least one of the following: Software Engineer/Data Engineer (query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions), Data Scientist/ML Engineer (model selection, model lifecycle, hyper parameter tuning, model serving, deep learning), or Data Applications Engineer (Build use cases that use data - such as 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 to evolve with complex needs.
  • ● Production programming experience in Python, R, Scala or Java.
  • ● Deep Specialty Expertise in at least one of the following areas: Experience scaling big data workloads that are performant and cost-effective, Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces, Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking, Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow.
  • ● Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
  • ● Native level Korean is required.
  • ● Business level English is a plus.