Resident Solution Architect
Primary stack
Nice to have's
Job description
Resident Solution Architect
US, Central
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 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 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.
Responsibilities
- 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.
Requirements
- 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.
We Offer
- Competitive salary range: $115,000 - $155,000 USD
- Equity packages (ISOs)
- Comprehensive benefits offering
- Flexible paid time off
- Opportunity to work with industry-proven technology
- Supportive and inclusive work environment
About the Company
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.
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.
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Enterprise Intelligence,Data Engineering,AI and Machine Learning
About the Company Starburst is a flexible data platform built on Trino and Apache Iceberg, designed to provide fast, secure access to data across various environments including clouds, on-premises, and hybrid setups. It enables organizations to unify distributed data without requiring data movement, offering a unified context layer for querying and analyzing data. Products, Services & Tech Stack Core Solutions: Enterprise Intelligence Platform Federated query engine Data lakehouse solutions AI data access and decision-making tools Technologies & Frameworks: Trino Apache Iceberg AIDA (AI Data Agents) Project Scope & Target Clients Client Base: Organizations with distributed data across multiple platforms Enterprises looking for fast, governed analytics without centralizing data Engineering Scale: Projects involving high-concurrency analytics Modernization of data platforms using Iceberg and open formats Building scalable data strategies with reduced data movement
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