Delivery Solutions Architect - Data & AI Platform (Seoul)

Databricks Inc.; United States; Hybrid; USD 180,000 - 230,000; Full time

Job summary

Databricks is seeking a Delivery Solutions Architect to empower large enterprise customers in accelerating adoption of the Lakehouse platform. You will work across key accounts, aligning technical and business outcomes, and report to a Director, Field Engineering.

The role blends technical leadership with strategic account management, requiring strong executive engagement, a track record of delivering complex deployments, and the ability to drive success from plan to production across Databricks

Qualifications

• 8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
• Experience with distributed data systems and data engineering, data warehousing, or data science/machine learning.
• Strong executive stakeholder management and the ability to engage C-suite.
• Proficient in Korean and English (native level Korean and business level English).

Responsibilities

• Own the post-technical win technical account strategy and investment plan for strategic use cases.
• Lead customer engagements across multiple teams, ensuring onboarding, enablement and production adoption.
• Develop reusable assets and mentor junior team members within the DSA team.
• Coordinate with product, engineering and services teams to execute on key use cases.

Skills

Executive stakeholder management

Pre-sales experience

Technical architecture

Leadership without direct reporting

Tools

Spark

Hadoop

Kafka

SQL

Job description

Databricks is seeking a Delivery Solutions Architect to empower large enterprise customers in accelerating adoption of the Lakehouse platform. You will work across key accounts, aligning technical and business outcomes, and report to a Director, Field Engineering.

The role blends technical leadership with strategic account management, requiring strong executive engagement, a track record of delivering complex deployments, and the ability to drive success from plan to production across Databricks