Job description

About Starburst 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. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence. Learn more at starburst.ai . About the role: Starburst Data is seeking a highly skilled and motivated and self starting individual to join our team as a Sr 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. In this role, you will also work closely with our partner ecosystem and will design and implement 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. As a Sr Resident Solution Architect at Starburst you will: 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. Some of the things we look for: 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 Where could this role be based? Central, US Or East, US Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $150,000 — $185,000 USD Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Requirements

Must-haves

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.
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
Understanding of AI governance, data security, and risks associated
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
Where could this role be based?
Central, US Or East, US

Nice-to-haves

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
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.
language to SQL, retrieval-augmented generation) is a plus.
with AI-generated queries and insights is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlawsazuredockerkubernetesjavapythonllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Paid Time Off