Sr. Solutions Engineer
Databricks Mosaic · Singapore
CHECKED 14H AGO
InfrastructureonsiteSenior
At a glance
Highlights
- Lead technical discovery and solution design for customer data and AI workloads.
- Build and deliver live demos and proofs-of-concept that drive technical wins.
- Own frontline relationships with customer engineers and data teams.
Ideal candidate
A builder and storyteller with customer-facing data experience who loves live coding, whiteboarding architectures, and turning complex needs into compelling demos that drive adoption.
Requirements
- 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting
- Proficient in Python and SQL with ability to write production-quality code
- Hands-on experience designing data solutions on AWS, Azure, or GCP
- Working knowledge of distributed data systems such as Apache Spark and Delta Lake
- Experience leading technical discovery, whiteboarding, and architecture reviews
- Strong presentation and demo skills with customer-facing experience
- Bachelor's or Master's in Computer Science, Engineering, or quantitative field or equivalent experience
- 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