Lead Solutions Architect: Data, AI & Platform Strategy

Databricks Inc.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Databricks Inc. is seeking an experienced Solutions Architect in Singapore to lead the technical strategy for customers, owning architecture discussions and driving platform adoption.

You will design scalable, production-grade data engineering, ML/AI, and real-time analytics solutions across cloud environments, while advising customer architects and engineering leads. Mandarin/Cantonese proficiency is required for regional collaboration.

Qualifications

• 5+ years in solutions architecture or senior technical role.
• Proficient in Python and SQL with live coding ability.
• Deep expertise in distributed data systems architecture and lakehouse patterns.
• Experience deploying production solutions on public clouds (AWS/Azure/GCP).
• Strong communication translating technical architectures to business value.
• Bachelor's or Master's in CS/Engineering or quantitative field.

Responsibilities

• Own end-to-end technical strategy from discovery to production deployment.
• Lead complex architecture discussions for scalable, production-grade solutions.
• Act as trusted advisor to customer architects and Directors.
• Demonstrate Databricks differentiation through custom-built solutions.
• Develop emerging technical specialization and drive platform adoption with teams.
• Coordinate cross-functional resources to deliver complex customer solutions.
• Provide feedback on customer requirements and competitive gaps to influence product direction.

Skills

Solutions architecture

Python

SQL

Distributed data systems

Databricks platform

Cloud deployment (AWS/Azure/GCP)

Leadership in architecture discussions

Live coding

Education

Bachelor's or Master's in Computer Science/Engineering (or equivalent)

Tools

AWS

Azure

GCP

Databricks Platform

Job description

Databricks Inc. is seeking an experienced Solutions Architect in Singapore to lead the technical strategy for customers, owning architecture discussions and driving platform adoption.

You will design scalable, production-grade data engineering, ML/AI, and real-time analytics solutions across cloud environments, while advising customer architects and engineering leads. Mandarin/Cantonese proficiency is required for regional collaboration.