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The Principal Software Engineer will lead the architecture, design, and development of Fivetran’s Data Lake product. Responsibilities include creating scalable data lake systems, collaborating with product teams, enhancing performance and reliability, contributing to open-source projects, and setting technical directions for cross-functional teams.

As a Lead Sales Engineer, you'll work with Enterprise customers to understand their needs and demonstrate how Fivetran's data solutions can meet their business outcomes, while providing technical expertise and support throughout the sales process.

The Senior Software Engineer will work on building and maintaining data pipelines that transfer and process large volumes of data from various sources to warehouses. Responsibilities include software development, code reviews, architectural design, and mentoring junior team members.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of Fivetran’s production infrastructure, manage incident responses, and deploy scalable artifacts using automation scripts. You'll collaborate with various teams to ensure the infrastructure meets availability and performance standards.

The Sales Systems Architect will enhance the Salesforce CRM for Fivetran’s business needs, focusing on system integration and best practices. The role involves collaborating with various teams, mentoring engineers, and driving architecture and technical strategies to improve operational efficiency and scalability while addressing complex technical challenges.

As a Senior Customer Support Engineer at Fivetran, you will manage customer cases from troubleshooting to resolution, provide technical support via various channels, ensure timely incident resolution, develop workarounds, communicate with engineering, and contribute to the knowledge base. You will also guide team members and collaborate on projects.

The Principal Software Engineer will lead the architecture, design, and development of Fivetran’s Data Lake product, ensuring high reliability and scalability. Responsibilities include developing large-scale data lake systems, collaborating with product teams, and contributing to open-source projects, while also addressing performance, security, and availability issues.