Senior Solutions Architect — Data & Cloud Strategy

Databricks Inc.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

Databricks Inc. in Singapore is seeking a Sr. Solutions Architect (Lakebase) to partner with Account Executives, crafting go-to-market strategies and delivering demos that help customers adopt the product line.

You will translate field insights into strategic recommendations for Product and Engineering, and guide complex technical engagements. The role requires 8+ years in customer-facing roles, strong SQL/Python skills, and hands-on cloud experience (AWS/Azure/GCP).

Qualifications

• 8+ years in a customer-facing, pre-sales or consulting role influencing technical executives.
• Experience collaborating with GTM leadership and account teams across cross-functional efforts.
• Proficient in SQL and Python; hands-on in major public cloud environments (AWS, Azure, or GCP).

Responsibilities

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and champion, building technical credibility to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that increases technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field.

Skills

SQL

Python

Pre-sales

Customer-facing

Cross-functional

Education

Bachelor’s in CS/Engineering

Job description

Databricks Inc. in Singapore is seeking a Sr. Solutions Architect (Lakebase) to partner with Account Executives, crafting go-to-market strategies and delivering demos that help customers adopt the product line.

You will translate field insights into strategic recommendations for Product and Engineering, and guide complex technical engagements. The role requires 8+ years in customer-facing roles, strong SQL/Python skills, and hands-on cloud experience (AWS/Azure/GCP).