Sr. Solutions Architect (Greater China)
Databricks Mosaic · Singapore
CHECKED 14H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Drive consumption strategy for most complex customer engagements at scale.
- Own executive relationships as trusted advisor on enterprise data and AI.
- Orchestrate cross-functional teams to deliver enterprise-grade solutions.
Ideal candidate
Executive-facing technical leader who thrives on complex enterprise engagements and mentoring others. Strategic thinker passionate about data and AI impact with business fluency in Mandarin for Greater China customers.
Requirements
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership or senior customer-facing technical role
- Expert-level coding proficiency in Python, SQL and ideally Spark/PySpark with live coding assessment
- Deep expertise in enterprise data architecture including distributed systems, streaming, lakehouse and governance
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms
- Declared technical specialization such as real-time architectures, ML/AI platforms, governance or migrations
- Proven track record of driving consumption growth and platform adoption in large accounts
- Executive presence to influence Directors, VPs and C-level stakeholders
- Experience leading competitive displacements and complex enterprise evaluations
- Bachelor's or Master's in Computer Science, Engineering or quantitative discipline or equivalent experience
- Business proficiency in Mandarin and experience in the Greater China Region
- hiring process
- Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch Presentation → Reference Check
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration