Sr. Solutions Architect (Greater China)

Location: Singapore

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, and agents.

What you will do

• Drive technical and consumption strategies for complex enterprise customer engagements.
• Own senior-level technical relationships and advise customers on enterprise data and AI strategy.
• Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
• Develop competitive strategies and position the Databricks Platform against incumbent and emerging platforms.
• Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
• Coach junior solutions architects and contribute to customer-facing thought leadership, workshops, and community engagement.

Requirements

• 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert coding proficiency in Python and SQL; Spark or PySpark experience is strongly preferred.
• Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
• Expert-level Databricks Platform knowledge or equivalent expertise with competing platforms.
• Experience driving platform adoption, consumption growth, competitive displacements, and complex enterprise evaluations.
• Business proficiency in Mandarin and experience in the Greater China Region are required.

Nice to have

• Databricks certifications.
• Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another leading data and AI company.
• Published thought leadership, conference talks, or open-source contributions.
• Industry expertise with executive-level domain credibility.

Culture & Benefits

• Comprehensive benefits and region-specific employee perks.
• Inclusive hiring practices and a diverse workplace.
• Opportunity to work with a global Data and AI platform used by more than 20,000 organizations.

Hiring process

• Recruiter screen followed by a hiring manager screen.
• Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
• Reference check.