Senior Big Data Solutions Architect

Databricks; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Databricks is seeking a Specialist Solutions Architect (SSA) to guide customers in building big data solutions on Databricks across diverse use cases. These customer-facing roles require hands-on production experience with cloud infrastructure and big data technologies, reporting to the Specialist Field Engineering Manager.

You will help design and implement workloads, align technical roadmaps, and mentor teams while expanding usage of the Databricks Data Intelligence Platform.

Qualifications

• Experience guiding customers in big data architectures.
• Hands-on production experience with cloud infrastructure and big data technologies.
• Experience with cloud security and networking best practices.
• Ability to design and size production workloads for data and AI.
• Willingness to travel up to 30% in ASEAN/Greater China regions.
• Nice to have: Databricks Certification.

Responsibilities

• Provide technical leadership to guide strategic customers to successful implementations on big data projects.
• Architect production-scale workloads and end-to-end pipeline performance testing.
• Provide technical expertise in cloud infrastructure and security for the Databricks platform.
• Assist Solution Architects with advanced aspects of technical sales including PoC content and workload sizing.
• Improve community adoption through tutorials, training, hackathons, conference presentations.
• Contribute to the Databricks Community as a technical SME.

Skills

Big data systems

Spark

Cloud infrastructure design

Terraform / IaC

CI/CD automation

Python/Scala/SQL/R

Pre-sales experience

Security design

AWS/Azure/GCP experience

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

Terraform

CloudFormation

AWS

Azure

GCP

Job description

Databricks is seeking a Specialist Solutions Architect (SSA) to guide customers in building big data solutions on Databricks across diverse use cases. These customer-facing roles require hands-on production experience with cloud infrastructure and big data technologies, reporting to the Specialist Field Engineering Manager.

You will help design and implement workloads, align technical roadmaps, and mentor teams while expanding usage of the Databricks Data Intelligence Platform.