Databricks

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Forward Deployed Engineer

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🗓️ Posted 2026-08-18 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

● You will work with customers to build and productionize solutions to their data and AI challenges using the Databricks platform.
● You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
● You will deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
● You will lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, and data ingestion and ML/AI model integration.
● You will guide strategic customers as they implement transformational big data projects including end-to-end design, build, and deployment of industry-leading big data and AI applications.
● You will guide customers on architecture and design, bootstrap or implement customer projects, which leads to a customer's successful understanding, evaluation, and adoption of Databricks.
● You will lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
● You will work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet the customer's needs.
● You will work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.
● You will embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
● You will contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Requirements

● You have 7+ years experience in data engineering, data platforms and analytics, or software engineering.
● You are comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks.
● You have working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
● You have deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
● You have familiarity with CI/CD for production deployments.
● You have working knowledge of MLOps, ML/AI models, and AI APIs.
● You have design and deployment experience of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.