[Hiring] Resident Solution Architect @Starburst

Role Description

Starburst Data is seeking a highly skilled and motivated individual to join our team as a Resident Solution Architect. In this role, you will be responsible for working closely with our customers to understand their business challenges and requirements, and then architecting and implementing solutions using Starburst products. You will also work closely with our partner ecosystem and design comprehensive training programs, ensuring partners are equipped to deliver top-tier solutions to clients. As a Resident Solution Architect, you will serve as a trusted advisor to our customers, helping them maximize the value of their data and achieve their business objectives.

• Collaborate with customers to understand their business goals, data architecture, and technical requirements.
• Design end-to-end solutions that leverage Starburst products to address customer needs, including data access, analytics, and performance optimization.
• Develop architectural diagrams, technical specifications, and implementation plans for customer projects.
• Lead the implementation and deployment of Starburst solutions, working closely with customer teams and internal stakeholders.
• Learn in depth how the engine, connectors, and integrations with 3rd party products work.
• Provide technical guidance and best practices to customers on using Starburst products effectively.
• Work with partners to train and upskill external personnel on Starburst Products for successful delivery.
• Collaborate with internal teams and external partners to create resources, best practices, application flow diagrams, and internal processes that enhance partner delivery capabilities.
• Troubleshoot and resolve technical issues that arise during the implementation and operation of Starburst solutions.
• Stay current on industry trends, emerging technologies, and best practices in data management and analytics.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
• 8+ years of experience in a technical role, such as solution architect, data engineer, or software engineer.
• Deep understanding of data architecture principles, including data modeling, data integration, and data warehousing.
• Proficiency in SQL and experience with distributed query engines (e.g., Presto, Trino, Apache Spark).
• Strong problem-solving skills and the ability to think strategically about business challenges and technical solutions.
• Excellent communication and interpersonal skills, with the ability to effectively interact with customers and internal teams.
• Experience with Linux OS, cloud platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker and Kubernetes), and programming/scripting (Java/Python/Bash) is a plus.
• Prior experience in client-facing/consulting roles is highly desirable.
• Prior experience with open-source technologies and contributions to the open-source community are highly desirable.
• Prior experience with running technical training internally or externally is highly desirable.
• Familiarity with LLM-based data interaction patterns (e.g., natural language to SQL, retrieval-augmented generation) is a plus.
• Understanding of AI governance, data security, and risks associated with AI-generated queries and insights is a plus.
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer meetings.

Benefits

• Competitive pay.
• Attractive stock grants.
• Flexible paid time off.
• Comprehensive benefits offering.

Pay Range

$115,000 — $155,000 USD

Company Description

Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence.