Senior Solutions Engineer - Data & AI Platform Architect

Neura Market; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Databricks is seeking a Sr. Solutions Engineer in Singapore to independently lead technical engagements, owning discovery, design, and platform demonstrations.

You will build and present proofs-of-concept, maintain frontline relationships, and partner with the Account Executive to expand Databricks adoption across data engineering, analytics, and ML. You should bring 4+ years in data engineering or solutions architecture, strong Python/SQL coding skills, and hands-on cloud data solution

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
• Proficient in Python and SQL with production-grade coding and live-coding ability.
• Hands-on design and implementation of data solutions on one public cloud (AWS, Azure, or GCP).
• Experience leading technical customer conversations and architecture reviews.

Responsibilities

• Lead technical discovery and solution design for customer workloads across data engineering, analytics, and ML.
• Build and present proofs-of-concept and live demos to drive technical wins on the Databricks Platform.
• Own frontline technical relationships with customer engineers and data teams.
• Develop account-level technical strategies with the Account Executive to grow platform usage.
• Articulate Databricks differentiation through hands-on demonstrations.

Skills

Python

SQL

Data engineering

Solutions architecture

Pre-sales

Education

Bachelor's degree in CS/Engineering

Master's degree

Tools

Unity Catalog

Lakeflow

MLflow

Job description

Databricks is seeking a Sr. Solutions Engineer in Singapore to independently lead technical engagements, owning discovery, design, and platform demonstrations.

You will build and present proofs-of-concept, maintain frontline relationships, and partner with the Account Executive to expand Databricks adoption across data engineering, analytics, and ML. You should bring 4+ years in data engineering or solutions architecture, strong Python/SQL coding skills, and hands-on cloud data solution