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Salary: USD 150,000 - 185,000 / annual
Starburst is seeking a Senior Resident Solution Architect to join their team. Starburst delivers enterprise intelligence at scale by providing organizations secure, governed access to all their data wherever it lives. Built for distributed data environments, the platform helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation.
In this role, you will work closely with enterprise customers to understand their business challenges and data architecture requirements, then architect and implement solutions using Starburst products. You will serve as a trusted technical advisor, helping customers maximize the value of their data and achieve business objectives.
Key responsibilities include:
- Collaborating with customers to understand business goals, data architecture, and technical requirements
- Designing end-to-end solutions leveraging Starburst products for data access, analytics, and performance optimization
- Developing architectural diagrams, technical specifications, and implementation plans
- Leading implementation and deployment of Starburst solutions with customer and internal teams
- Providing technical guidance and best practices on using Starburst products effectively
- Working with partners to train and upskill external personnel on Starburst products
- Creating resources, best practices, and internal processes to enhance partner delivery capabilities
- Troubleshooting and resolving technical issues during implementation and operation
- Staying current on industry trends, emerging technologies, and best practices in data management and analytics
This role requires 25% travel for onboarding, team offsites, and customer engagements.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 8+ years of experience in technical roles such as solution architect, data engineer, or software engineer
- Deep understanding of data architecture principles including data modeling, integration, and warehousing
- Proficiency in SQL and experience with distributed query engines (Presto, Trino, Apache Spark)
- Strong problem-solving skills and strategic thinking about business and technical challenges
- Excellent communication and interpersonal skills for customer and internal team interaction
- Experience with Linux OS, cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and programming/scripting (Java, Python, Bash) is a plus
- Prior client-facing or consulting experience highly desirable
- Prior open-source technology experience and community contributions highly desirable
- Prior technical training experience (internal or external) highly desirable
- Familiarity with LLM-based data interaction patterns (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
