Senior Resident Solution Architect - Data & AI Enablement

Starburst; Rancho Cucamonga (CA); On-site; USD 150,000 - 185,000; Full time

Benefits offered by this job

Equity grants

Competitive pay

Flexible PTO

Total Rewards program

Job summary

Starburst is seeking a Sr Resident Solution Architect to collaborate with customers to define data architecture, design end-to-end Starburst-based solutions, and lead deployment efforts across teams. You will train partners and stay current on data management and analytics trends.

The role involves 25% travel within the US and requires strong SQL, distributed engines, and cloud experience to maximize data value for clients.

Qualifications

• Bachelor’s degree in CS/Engineering or related field; master preferred.
• 8+ years in a technical role such as solution architect or data engineer.
• Proficiency in SQL and distributed query engines (Presto/Trino/Spark).

Responsibilities

• Understand customer goals, data architecture, and requirements.
• Design end-to-end solutions using Starburst products for data access and analytics.
• Develop architectural diagrams, specs, and implementation plans.
• Lead implementation and deployment with customer teams.
• Learn engine, connectors, and 3rd-party integrations in depth.
• Provide technical guidance and best practices to customers.
• Train and upskill external personnel on Starburst products with partners.
• Collaborate to create resources and diagrams for partner delivery.
• Troubleshoot and resolve issues during implementations.

Skills

SQL

Distributed data engines

Cloud platforms

Docker

Kubernetes

Data architecture

Java/Python

Education

Bachelor's degree in CS/Engineering or related field

Master's degree preferred

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud

Trino

Presto

Apache Spark

Job description

Starburst is seeking a Sr Resident Solution Architect to collaborate with customers to define data architecture, design end-to-end Starburst-based solutions, and lead deployment efforts across teams. You will train partners and stay current on data management and analytics trends.

The role involves 25% travel within the US and requires strong SQL, distributed engines, and cloud experience to maximize data value for clients.