Senior Solutions Architect — Enterprise AI & Platform Strategy

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Singapore

On-site

SGD 180,000 - 260,000

Full time

2 days ago
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Job summary

Databricks is seeking a Sr. Solutions Architect to lead our most complex customer engagements. You will drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.

You will mentor teammates, contribute to field engineering, and orchestrate cross-functional teams to deliver enterprise-grade AI and data solutions at scale.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
  • 8+ years in solutions architecture or senior customer-facing technical roles.
  • Expert-level coding proficiency — Python, SQL, and Spark/PySpark.
  • Deep expertise in enterprise data architecture and cloud-native platforms.
  • Executive presence with ability to influence senior stakeholders.
  • Mandarin business proficiency and GCR experience are required.

Responsibilities

  • Drive consumption strategy for complex customer engagements and influence platform adoption.
  • Own senior-level technical relationships and act as trusted advisor on data and AI strategy.
  • Lead multi-workload architecture engagements and real-time systems at scale.
  • Mentor junior SAs and contribute to field engineering thought leadership.
  • Coordinate cross-functional teams to deliver enterprise-grade solutions.

Skills

Executive presence
Python
SQL
Spark/PySpark
Enterprise data architecture
Cloud platforms
Technical leadership
Data governance

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Databricks Platform
Snowflake/AWS/GCP/Azure

Job description

Databricks is seeking a Sr. Solutions Architect to lead our most complex customer engagements. You will drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.

You will mentor teammates, contribute to field engineering, and orchestrate cross-functional teams to deliver enterprise-grade AI and data solutions at scale.

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