Resident Solutions Architect

August 15

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Starburst

WebsiteLinkedInAll Job Openings

Hadoop • SQL • Hive • Amazon Athena • Distributed Systems

201 - 500 employees

Founded 2017

🤖 Artificial Intelligence

💳 Fintech

Description

• 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. • 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, and 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. • 5+ 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 cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. • Prior experience with open-source technologies and contributions to the open-source community are highly desirable. • Prior experience with technical training internally or externally is highly desirable.