Delivery Solutions Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work across a small number of key accounts as a hybrid technical and commercial leader. You will own post-win account strategy, be the accountable technical lead for use cases, manage executive relationships, build success plans, coordinate with specialists and Product teams, report KPIs and mentor other DSAs.
Requirements
- 8+ years in customer-facing pre-sales, technical architecture, customer success or consulting
- Understanding of distributed data systems architecture in data engineering, data warehousing or data science/ML
- Ability to manage multiple projects and engage virtual teams of experts
- Experience influencing and leading teams without direct authority
- Executive stakeholder and escalation management experience
- Strategic management consulting experience
- Business value consulting experience
- Quota ownership and track record of achievement
- Proficient in Korean (native) and English (business level)
Responsibilities
- Engage with the Solutions Architect to understand the use case demand plan
- Own post-technical-win account strategy and investment plan
- Be the accountable technical leader for specific use cases across teams
- Be first point of contact for production and go-live questions
- Escalate to Level 400/500 technical experts as needed
- Create and execute a PoV to accelerate use cases into production
- Navigate Product and Engineering teams for innovations and upgrades
- Build executive and programme-level success plans
- Report KPIs on consumption and customer health to your Technical GM
- Develop reusable assets and mentor junior team members